my presentation in french

How to give an oral presentation in French

by Lingoda Team

Published on November 18, 2016 / Updated on November 9, 2022

Eventually in life, the time will come when you will have to present in front of a group. If you are giving a speech in a foreign language like after learning French, it can be very challenging since it often adds extra insecurity to the mix. We will give you some tips on how to give an oral presentation in French:

Preparation is key. In order to succeed in your presentation, know your topic well. You will be the expert in the classroom and realizing this will boost your self-confidence and keep your nerves under control. Remember to use technology to your advantage, visual aids (maps, photos, film clips, graphs, diagrams, and charts) can enhance a presentation, but don’t rely completely on them since it might be distracting for your audience.

Pay attention to your posture, stand straight and don’t rock back and forth on your heels, or do anything that might distract from your content. Speak in a clear, audible voice, loud enough to be clearly heard in the back row.  Never, ever mumble and be confident about your research and content.

Learn languages at your pace

Tips to give an oral presentation in french.

• Structure and order . France is not an exception. Let the audience know at the start how your presentation will be structured. A brief outline will prepare them for what you are about to say.
• It’s not what you say but how you say it.  This may sound like a cliché, but it’s a general rule for life. Understand that you will probably be nervous, accept it and move on. Deep breaths will help control the speed of your speech and will give the impression that you are more confident in what you are saying. Avoid having spicy food or caffeine drinks right before and make sure your breathing pattern is normal.
• Talk! don’t read . Nobody enjoys seeing a speaker burying his or her face in a script, reading stiffly from a piece of paper. Try to talk from notes, or, if you use a written-out text, try to look down at it only occasionally. In a speech, it is crucial to be able to transmit the ideas and concepts that you have been preparing and working for so hard, so don’t worry too much about the words.
• Make eye   contact  with people seated in all parts of the room, another fundamental aspect of public speaking. Don’t be afraid of using your hands to emphasize your ideas. Sharing space with the audience can also communicate your interest in sharing your results with them, so don’t be afraid of moving around the stage to help you reach out to every corner of the room, and also cover up any nervousness you may be experiencing.
• Don’t be afraid of questions and interruptions.  Actually, this is one of the best things that can happen, because it shows that someone in the audience has engaged with what you’re saying, and, if you have the time to offer a brief response, it can actually lead to genuine progress on the point you were making. Plus, two-way conversation is always a tension-reducer.
• Always try to make an impact with your audience.  Something that they’ll remember. Finishing strong can be a good way to achieve that. Always be sure to have a compelling conclusion to your presentation in which you highlight and summarize the points you made to your audience.

Useful vocabulary for presenting in French

Introduction, expressing opinion, other expressions, ending phrases, learn french with lingoda.

You are looking for topic ideas for your French presentation? Extend your vocabulary with Lingoda! With us, you can learn French from fully qualified teachers, who will provide you with a well-rounded education, focusing not just on speech, but on reading, writing and listening as well.

With that said, one of the key benefits of learning through Lingoda is that all of our teachers are native speakers. This means that as a French language student, you will get to hear authentic French, as it is really  spoken around the world , which will prove to be beneficial when the time comes to give presentations of your own.

Lingoda’s courses offer learners complete flexibility and students can schedule as many or as few classes as they like, depending on their goals and lifestyle. The majority of classes take place in virtual classrooms, with a small number of students, although private one-to-one lessons are also available.

All of our courses are aligned to the Common European Framework of Reference for Languages (CEFR), which is widely considered to be the gold standard of language frameworks. As students progress, they can also earn  official French certificates , which enjoy recognition from institutions worldwide.

Lingoda Team

This article was produced by one of the in-house Lingoda writers.

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10 Common French phrases: How to structure a speech or talk

Whether you’re giving a presentation or simply introducing yourself to a group of people, knowing how to structure a speech or talk in French can be a valuable skill.

In this lesson, we’ll go over 10 common French phrases for structuring a speech or talk.

Bonjour à tous. (Hello, everyone.)

This phrase is used to begin a speech or talk, and to greet the audience.

Je vais parler de ___. (I’m going to talk about ___.)

This phrase is used to introduce the topic or theme of the speech or talk.

Tout d’abord, je vais ___ . (First, I’m going to ___ .)

This phrase is used to introduce the first point or topic of the speech or talk.

Ensuite, je vais ___ . (Next, I’m going to ___ .)

This phrase is used to introduce the second point or topic of the speech or talk.

Après cela, je vais ___ . (After that, I’m going to ___ .)

This phrase is used to introduce the third point or topic of the speech or talk.

Pour résumer, j’ai parlé de ___. (To summarize, I talked about ___.)

This phrase is used to summarize the main points or topics covered in the speech or talk.

En conclusion, ___. (In conclusion, ___ .)

This phrase is used to wrap up the speech or talk, and to give a final statement or message.

Merci de votre attention. (Thank you for your attention.)

This phrase is used to express gratitude to the audience for listening.

Avez-vous des questions ? (Do you have any questions?)

This phrase is used to invite the audience to ask questions or seek clarification.

Je suis à votre disposition pour répondre à vos questions. (I’m available to answer your questions.)

This phrase is used to indicate that the speaker is willing and available to answer any questions or concerns the audience may have.

Learning these common French phrases for structuring a speech or talk will help you to communicate more effectively in formal settings.

Additionally, it is helpful to learn basic French vocabulary and grammar rules to build your language skills. With practice and persistence, you’ll soon be able to deliver speeches and talks with ease in French.

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How to present yourself during a french interview

When you're seeking employment, it's crucial to understand how to present yourself professionally in French. Whether it's during an interview, a conference, or a meeting, you must be able to discuss about yourself, your skills, your motivations, and goals. This is an opportunity to make a favorable impression on a potential employer and position yourself as the ideal candidate for the job. Here's a guide to some key phrases and examples to use during a professional presentation in French.

The initial interaction with the recruiter: "Parlez-moi de vous"

The first interaction with the recruiter is important. Your presentation, even if it’s brief, should capture your audience's attention and establish your credibility. The commonly asked first question is "Parlez-moi de vous." Introduce yourself with simple sentences (name, age, current position). For example, you can use the following phrases for self-introduction:

• Bonjour, je m'appelle (...) et je suis (...) = Hello, my name is (...) and I am (...).
• J'ai obtenu mon diplôme de (...) il y a (...) ans en (...) = I graduated from (...) (...) years ago with a degree in (...).
• J'ai travaillé en tant qu'(...) pendant (...) ans chez (...). = I worked as (...) engineer for (...) years at (...).

Example: “Bonjour. Je m'appelle James et j'ai 38 ans. J’ai obtenu mon diplôme de Harvard il y a quatorze ans en ingénierie. J'ai travaillé en tant qu'ingénieur pendant douze ans chez Microsoft”

Discussing your work experience and skills

The second part of your presentation should demonstrate that you possess the skills and qualities required for the position. You should really read thorough the job description to tailor your responses according to the required skills. Highlight experiences relevant to the position you're interested in and use professional vocabulary. Also, don't forget to conduct some research on the company to distinguish yourself from other candidates.

• J’ai de l’expérience dans le domaine de/du (...) = I have experience in the field of (...).
• Par exemple, dans mon poste actuel, je suis responsable de (...) = For example, in my current position, I am in charge of (...).
• Cela montre que je suis (...) = This shows that I am (...).
• J’ai d’excellentes compétences en (…) = I have great (…) skills.
• Au cours de ma carrière, j’ai énormément appris sur (…) = During my career, I learned a lot about (…)

Example: “J’ai de l’expérience dans le domaine de la technologie de l'information (IT). Par exemple, dans mon poste actuel, je suis responsable de la gestion des réseaux informatiques. Cela montre que je suis responsable et capable de gérer les urgences. J’ai d’excellentes compétences en résolution de problèmes. Au cours de ma carrière, j’ai énormément appris sur la programmation.”

Presenting your strengths and weaknesses

It's very likely that the recruiter will ask you the inevitable question about strengths and weaknesses: “Quels sont vos qualités? Et quels sont vos défauts?” How you respond can significantly influence the recruiter's opinion. It's important to prepare for this question and answer it spontaneously. Be honest and focus on your interlocutor's expectations.

What are your strengths?

Highlight qualities related to the job you're applying for. Even though this exercise is challenging, don't be overly modest. Here are some examples of qualities to emphasize during an interview:

• Organisé(e) = Organized
• Ambitieux(se) = Ambitious
• Créatif(ve) = Creative
• Discipliné(e) = Disciplined
• Flexible = Flexible
• Curieux(se) = Curious
• Empathique = Empathetic
• De bonne humeur = Good-tempered
• Aimable = Kind
• Serviable = Helpful
• Rigoureux(se) = Rigorous
• Compréhensif(ve) = Understanding

Here are some examples of phrases to present your qualities in different contexts:

• “Mon souci du détail est une force essentielle, garantissant constamment un travail de haute qualité.” = “My attention to detail is a key strength, consistently delivering high-quality work.”
• "Je suis connu(e) pour mon adaptabilité.” = “I'm known for my adaptability”
• "J'apporte une attitude positive à chaque projet.” = “I bring a positive mindset to every project”
• “Avec un fort sens de l'initiative, j'identifie proactivement les opportunités.” = “With a strong sense of initiative, I proactively identify opportunities”
• “Mes solides compétences en organisation se sont manifestées dans ma capacité à gérer plusieurs tâches simultanément” = “My strong organizational skills have been evident in my capacity to manage multiple tasks”

What are your weaknesses?

Flaws are natural, and everyone has them. However, be honest during the job interview and opt for real flaws:

• Distrait = Distracted
• Autoritaire = Authoritarian
• Sensible = Sensitive
• Indécis(e) = Indecisive
• Distrait(e) = Thoughtless / absent-minded
• Étroit(e) d'esprit / Têtu(e) = Narrow-minded / Stubborn
• Susceptible = Touchy
• Difficulté à gérer le stress = Struggling under pressure
• Bavard(e) = Talkative

You can also counterbalance your weaknesses with a positive statement, for example:

• “Je suis bavard(e) mais je sais quand il est temps de travailler.”= “I'm talkative but I know when it's time to work”
• “Je suis stressé(e) sous pression mais j'ai récemment commencé des cours de yoga.” = “I am struggling under pressure but I've recently started yoga classes”
• “Je suis naturellement timide donc je dois faire beaucoup d'efforts pour m'exprimer.” = “I am naturally shy so I have to make a big effort to speak up”

Don't hesitate to ask questions about the company and the position

When your presentation is finished and your interlocutor has asked their questions, you can in turn ask questions about the position and the company to demonstrate your interest and motivation.

For example, you can ask the following questions:

• “À quoi ressemble une journée type dans votre entreprise?” = “What does a typical day at your company look like?”
• “Quelle est l'ambiance de travail?” = “What's the working atmosphere like?”
• “How does the integration process work?” = “Comment fonctionne le processus d'intégration?”
• “Organisez-vous des activités de renforcement d'équipe?” = “Do you organize team-building activities?”
• “Est-ce un nouveau poste?” = “Is this a new position?”
• “Quelles sont les prochaines étapes du processus de recrutement?” = “What are the next steps in the recruitment process?”

Concluding the interview

When the job interview is about to end, don't hesitate to ask the recruiter if they have any further questions. If they don’t, you can then thank them for the time they've spent with you.

• “Avez-vous d'autres questions?” = “Do you have any other questions?”
• “Merci beaucoup d'avoir pris le temps de me rencontrer aujourd'hui!” = “Thank you so much for taking the time to meet with me today!”

Do you wish to improve your professional French skills? Swiss French School offers French courses for businesses to create opportunities for all employees, regardless of their field of activity.

“ Myself or one of my colleagues will be happy to have a short no-obligation chat with you about your level of French and how our unique learning method can help you reach your goals. ” Chiara Agosta, Educational consultant

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How to Introduce Yourself and Others in French

Perfecting Les Présentations

• Pronunciation & Conversation
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When you meet French speakers , you need to know how to introduce yourself and what to say when you are introduced. French can be a bit tricky when introducing yourself or others depending on whether you know the person to whom you are making the introduction(s) or even if you have had any contact with the person. In French, those circumstances all require different introductions.

Basic Introductions

French uses the verb  se présenter, not  introduire,  meaning to introduce something into something else, which translates into English as "to insert." The most basic introduction in French, then, would be:

• Je me présente. = Let me introduce myself.

Using s’appeler is the common way of introducing yourself in French. Don’t think of it as “to name oneself” because it will only confuse you. Think of it in the context of introducing your name to someone, and link the French words to that context instead of applying a literal translation, as in:

• Je m​'appelle ... = My name is...

Use je suis with people who already know your name, such as those you have already talked to on the phone or by mail but never met in person, as in:

• Je suis... =  I am...

If you don't know the person or have never spoken to him on the phone or contacted him by email or mail, use  je m’appelle,  as noted previously.

Introducing by Name

There are also distinctions between formal and informal introductions, as well as singular versus plural introductions, as noted in the tables in this and the subsequent section.

Meeting People

In French, when you are meeting people , you have to be careful about using the correct gender , as well as whether the introduction is formal or informal, as in these examples.

French Names

Nicknames — or  un surnom in French — are much less common in this Romance language than in American English, but they are not unheard of. Often, a longer first name will be shortened, such as  Caro  for Caroline or  Flo  for Florence. 

Cheek Kissing and Other Greetings

Cheek kissing  is certainly an accepted form of greeting in France, but there are strict (unwritten) social rules to follow. Cheek kissing is generally OK, for example, but not hugging. So, it's important to learn not only the words that go with cheek kissing — such as  bonjour  (hello) — but also the social norms that are expected when greeting someone in this manner. There are also other ways to say " hello " and ask " How are you? " in French.

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Speech in French. Plus, How to Write a Speech in French.

How to start, what to include.

Spearheaded by the French Academy, the people in France take their language very seriously. While Spanish radio announcers laugh at their language mistakes, their northern neighbors are terrified of getting something wrong. So even though you know you may be judged critically by a French audience, you can prepare a good presentation by following the rules of good speech writing. Once you break the process down into small steps, it isn't as frightening as it appears. ‌ Writing a speech in French follows the same basic rules as writing one in English: introduction, body of the speech and conclusion. ‌

‌ Begin by welcoming your audience ‌. "Bonjour (or bonsoir) mesdames et messieurs" will do nicely, as it is the expected French greeting.

‌ Apologize for not speaking French perfectly. ‌ Unless you are a bilingual Parisian who refers to french as français, it is a good idea to admit up-front that your language skills are not perfect. Your audience will sympathize more with you if you are honest.

‌ Start your speech in French with a topic sentence that indicates you are witty and well-versed in French literature. ‌ If you can't think of anything, use a quote from a known French writer bordered by quotation marks, such as Sarte, Renard or Voltaire.

‌ Outline what your speech is going to be about in your opening. ‌ Open with j’ai and let your French audience know where you are going with your speech. It is important to stick to your topic, as the French will expect you to deliver what you promise. This could be an example of indirect speech.

‌ Shy away from humor unless you are practically a native speaker and understand the subtle way the French use double innuendos. ‌ Slap-stick American jokes will alienate your audience and leave you looking like a bumpkin.

‌ Pull your speech together in your concluding paragraph ‌. Politely thank your audience for attending, and giving you the courtesy of listening to your speech. Remember that the French stress manners. This could be an example of direct speech.

‌ End your speech in French with a memorable line that links back to your topic sentence. ‌ If you can't think of anything, resort to repeating the quotation you started with, or using another equally as memorable phrase. Pay attention to verb tenses and french grammar.

‌ Edit your speech in French for common grammatical mistakes. ‌ Remember that the French language has masculine and feminine pronouns, so check to make sure you use "le" and "la" are correct. Try to alternate seamlessly between past tense, present tense, subjunctive, and infinitive. Double check conjugation.

‌ Pronunciation takes practice, especially with french words. ‌ Practice your reported speech out loud and sound out your french vocabulary in order to avoid stumbling. Beginning learners should spend extra time on this.

• Ask a native French speaker to check your speech to be sure you got everything right.

It takes time to learn French, so go easy on yourself but you still must sound professional.

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Jody Hanson began writing professionally in 1992 to help finance her second around-the-world trip. In addition to her academic books, she has written for "International Living," the "Sydney Courier" and the "Australian Woman's Forum." Hanson holds a Ph.D. in adult education from Greenwich University.

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DELF A1- A2 Production Orale: How to introduce yourself in french

How do you present yourself in french? What are the key french verbs and vocabulary you will need to effectively present yourself? What should you talk about? These and other questions will be covered in the following tutorial.  In addition we will listen to a sample dialogue introducing themselves.

In the Production orale section of your DELF A1 you are expected to do a guided interview or “ Entretien dirigé ” which will last about 1 minute. It entails replying to questions from the examiner about you ( se presenter) , your family, your tastes or activities, in other words personal information and relationships.

Key french verbs to use for presenting yourself

The key french verbs you need to know for this section of your exam are:

• etre  – to be  –
• habiter – to live –
• parler – to speak –
• s’appeler – to be called –
• avoir – to have –

Tips on answering questions about yourself:

Answer in full sentences and include some details where possible. Make sure to show how well you can use the past tenses, the future as well as give your opinion. Here is a break down of what you could speak about:

What is your full name : Bonjour, je m’appelle…………………………………. Where do you live : J’habite ………………………………………………….……………………………………… What is your telephone number : Mon numéro de téléphone est le …………………… When and where were you born : Je suis né le…………………………….à……………………………… How old are you : J’ai …………ans. What is your nationality: Je suis …………………………………………………… What is your civil status ( are you married, single etc) : Je suis …………………………………………… Do you have any children : J’ai ………enfants. What is your profession: Je suis …………………………………………………. What do you like to do in your free time : J’aime ………………………………………………….. J’aime ………………………………………………….. J’aime …………………………………………………..

expressions to introduce yourself

Bonjour, je m’appelle…………………………………. J’habite ………………………………………………….……………………………………… Mon numéro de téléphone est le …………………… Je suis né le…………………………….à……………………………… J’ai …………ans. Je suis …………………………………………………… Je suis …………………………………………… J’ai ………enfants.Je suis …………………………………………………. J’aime ………………………………………………….. J’aime …………………………………………………..J’aime …………………………………………………..

Sample speaking topic and questions will include:

Talk about yourself :.

• how to ask for someone’s name in french : Comment vous vous appelez?
• Quelle est votre nationalité ?
• Vous avez quel âge?
• Quelle est la date de votre anniversaire?
• Qu’est-ce que vous as fait pour fêter votre anniversaire l’année dernière?

(1) Listen to the following two audios files where two people introduce themselves

Here is a example of someone presenting themselves.

Je m’appelle Sandra, je suis americaine et je suis célibataire. J’ai 31 ans et je travaille pour une banque. Je n’ai pas d’animal. J’aimerais avoir un chien,mais mon appartement est trop petit. Mon pays préféré, c’est l’Irlande, mais pour les vacances, je préfère l’Italie. Je ne suis pas sportive mais j’aime le foot à la télé. Mon objet préféré : mon téléphone ! Il est tout le temps avec moi. J’aime lire les auteurs français, (en anglais) et japonais. J’écoute surtoutde la musique du monde et mon fi lm préféré c’est Avatar ! Je n’aime pas les grenouilles, mais j’adore la tartifl ette !  

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What is the translation of "my presentation" in French?

Did you mean:.

• malpresentation

Context sentences

English french contextual examples of "my presentation" in french.

These sentences come from external sources and may not be accurate. bab.la is not responsible for their content.

• open_in_new Link to source
• warning Request revision

Similar translations

Similar translations for "my presentation" in french.

• représentation
• proposition
• intervention
• présentation
• ma petite chatte
• ma poulette

English-French dictionary

• English MAOI
• English MBA
• English MBE
• English MBO
• English MCAT
• English MCC
• English MDF
• English MEP
• English MEd
• English MFA
• English MHz
• English MI5
• English MI6
• English MIA
• English MIB
• English MILF
• English MIPS
• English MIR
• English MIRV
• English MIS
• English MLS
• English MLitt
• English MMR
• English MMS
• English MMS message
• English MOOC
• English MORI
• English MOT
• English MOT certificate
• English MOT test
• English MOT until June
• English MP3 file
• English MP3 player
• English MPS
• English MPV
• English MPhil
• English MRCP
• English MRCS
• English MRCVS
• English MRI
• English MRSA
• English MS-DOS
• English MT (magnetic tape)
• English MVP
• English MX missile
• English MY house
• English MYOB
• English Maastricht
• English Mabille Lake
• English Macao
• English Macaria
• English Macau
• English Maccabees
• English Mace
• English Macedonia
• English Macedonian
• English Macedonians
• English Mach
• English Mach number
• English Machiavelli
• English Machiavellian
• English Machiavellianism
• English Mackenzie River
• English Macron Inc
• English Madagascar
• English Madam Chairman
• English Madam President
• English Madam Speaker
• English Madame
• English Madawaska River
• English Madeira
• English Madeira cake
• English Madeleine
• English Madison Avenue
• English Madonna
• English Madonna and Child
• English Madonna lily
• English Madras
• English Madrid
• English Madrilenian
• English Madrilenians
• English Mae West
• English Maecenas
• English Maestricht
• English Mafioso
• English Magdalene
• English Magdalenian
• English Magellan
• English Magellanic Clouds
• English Maggi herb
• English Maghreb
• English Maghrebi
• English Maghrebis
• English Magic Marker
• English Maginot line
• English Magusi River
• English Magyar
• English Magyars
• English Maharishi
• English Mahatma Gandhi
• English Mahomet
• English Mahometan
• English Maine
• English Maine-et-Loire
• English Mainer
• English Mainers
• English Mainland
• English Mainz
• English Major Andrews
• English Majorca
• English Majorcan
• English Majorcans
• English Majuro
• English Makasar
• English Makhuwa
• English Malabo
• English Malachi
• English Malaga
• English Malaga grape
• English Malaga raisins
• English Malagan
• English Malagans
• English Malagasy
• English Malawi
• English Malawian
• English Malawians
• English Malay
• English Malay Archipelago
• English Malay peninsula
• English Malaya
• English Malayalam
• English Malayan
• English Malaysia
• English Malaysian
• English Malaysian company
• English Malaysian government
• English Malaysian students
• English Malaysian women
• English Malaysians
• English Malcolm
• English Maldives
• English Maldivian
• English Maldivians
• English Mali
• English Malian
• English Malians
• English Malmö
• English Malta
• English Malta fever
• English Maltese
• English Maltese cross
• English Maltese fever
• English Maltese orange
• English Malthusian
• English Malthusian economics
• English Malthusianism
• English Malé
• English Mam
• English Mameluke
• English Mammalia
• English Mammon
• English Man proposes, God disposes
• English Managua
• English Managuan
• English Managuans
• English Manama
• English Manche
• English Manchester
• English Manchu
• English Manchuria
• English Manchurian
• English Mancunian
• English Mancunians
• English Mandarin
• English Mandarin Chinese
• English Manes
• English Manhattan
• English Mania
• English Manichaean
• English Manichaeism
• English Manichean
• English Manichee
• English Manicheism
• English Manila
• English Manila cigar
• English Manila hemp
• English Manila paper
• English Manileña

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Learn Online Spoken French Lessons for India Free

Presenting yourself or someone in french (les présentations), you might also like.

Asking Introductory Formal and Informal Questions (Introduction Formelle et Informelle)

Most common phrases used in french (la plupart des phrases françaises communs), basic greetings in french (salutations en français).

LinguaJunkie.com

A very cranky language blogger dishing out brutal language tips.

How to Introduce Yourself in French in 10+ Lines + Audio

Want to speak French? Yes? Good – keep reading.

This is for those that truly want to learn the language. Here’s how you introduce yourself in French in 10 easy lines… and this might take you 2 to 3 minutes or less. You can also listen to audio by pressing the play button.

There’s also a PDF for these phrases at the end!

But if you’re JUST looking for the ONE French phrase, it’s this:

• My name is ______.
• Je m’appelle ______.

1) Bonjour, enchanté(e) de faire votre connaissance.

“Hello” and “Nice to meet you” are must-know phrases. Any introduction will probably will start with these words.

• Hello, it’s nice to meet you.
• Bonjour, enchanté(e) de faire votre connaissance.

You should also listen and hear real French – Press play below. Try this Free Lesson from FrenchPod101.com (click here to visit) for the complete explanation about introducing yourself!

Press play to listen below.

Now, let’s say someone asks for your name in French.

They would say….

2) Comment t’appelles-tu?

• What’s your name?
• Comment t’appelles-tu?

3) Je m’appelle ______.

This is simple. To say “my name is” in French, you just need the phrase “Je m’appelle.” Then say your name. For example, if the name is Linguajunkie, it would be like this…

• Je m’appelle Linguajunkie.

Here’s another example:

• Je m’appelle Robert. Comment t’appelles tu ?
• My name is Robert. What’s your name?

4) Je viens de ____.

So, where are you from? America? Europe? Africa? Asia? Just stick the name of your country inside this phrase. We’ll use France as an example.

• Je viens de France .
• I’m from France .

5) J’habite à ______.

What about now – where do you live? Just fill in the blank with the country or city (if famous) into this phrase. I’ll use Paris as an example.

• J’habite à Paris .
• I live in Paris .

6) J’apprends le français depuis _____.

How long have you been learning French for? A month? A year?

• J’apprends le français depuis un an .
• I’ve been learning French for a year .

7) J’apprends le français sur _____.

Where are you learning French? At school? At home? This would be a great line to know and use when you’re introducing yourself. Here’s my example:

• J’apprends le français sur FrenchPod101.com .
• I’m learning French at FrenchPod101.com .

8) J’ai  ___  ans.

Here’s how to say how old you are in French. Just add the number in. You will want to know French numbers from 1 to 100 , so click the link to review and find out how to say your age in French.

• J’ai      ans.
• J’ai 27 ans.
• I’m 27 years old .

9) Je suis ______.

What about your position? Are you a student? Yoga teacher? Lawyer for the potato industry? Potato salesman? Super important question that people like to ask (and judge you about – Hey, I’m just a blogger! ). Just use “ani” meaning “I” and add your position.

• Je suis enseignant (e).
• I’m a teacher .

Here are some examples of other jobs:

• ingénieur – engineer
• programmeur – programmar
• infirmière – nurse
• professeur – professor
• employé de bureau – office worker/clerk
• ouvrier de société – company worker
• gérant – manager
• secrétaire – secretary
• docteur – doctor
• agent comptable – accountant
• officier de police – police officer
• pompier – firefighter
• avocat – lawyer
• cuisinier – cook

10) Un de mes passe-temps est la lecture. _____.

Now, let’s move onto personal interests – hobbies! My hobbies are languages, linguajunkieing and such. How about you? You’ll definitely need this line when introducing yourself in French.

Here’s an example to use:

• Un de mes passe-temps est la lecture.
• One of my hobbies is reading.

11) J’aime écouter de la musique.

Now, this is just another example line about your hobbies . You can use something else where.

• J’aime écouter de la musique.
• I enjoy listening to music.

So now you know how to introduce yourself in French.

Remember, if there’s only ONE phrase you’ll remember me, Lingajunkie, let it be:

If you want a French PDF lesson for this Introductions lesson, check out the link below. You can download it for free.

Let’s recap the French phrases for self-introduction:

I’m sure there’s a ton more you can say – but this is an easy, simple start that any beginner can put to use. It’s all about starting easy. Here are the French lines for your self-introduction.

See if you can introduce yourself below. Leave me a comment.

I read all comments!

Hope you enjoyed this!

– The Main Junkie

P.S. I highly recommend this for French learners. If you REALLY want to learn French with effective lessons by real teachers – Sign up for free at FrenchPod101 (click here) and start learning!

Merci,this helps alot

Wow I love this it help a lot

Merci beaucoup

merci becoup

I found this very useful as I prepare myself for the oral test thanx for this

how to say daddy in french

THANKS FOR THIS!!

merci madam

how do you say ” I am taking 6 classes this semester” ?

merci bonjour je m’appelle Malveer J’habite a mosh

um…could you write an introduction for students?????

[…] learn bonus lines for introducing yourself in French in part […]

Bonjour , enchante de faire votre connaissance. je m’appelle Gloria Ewoigbe . Je viens de Nigeria. J’ai 17 ans. J’habite ‘a England . J’apprends Francais depuis trois mois. j’apprends Francais ‘a mon Ecole, ma maison et sur French pod 101 .com un de mes passe -temps est la lecture. J’aime ecouter la Chritienne musique . J’aime Paris repas il est de’licious. Je suis une etudiante . Aussi J’aime Dieu. Et Toi? qui es -tu?

[…] This next section of French phrases contains basics you’d need for conversations. Like, how to say “yes,” “thank you,” “how are you,” or even introduce yourself in French. […]

whats up yo

Thank you for helping

It was not easy and unable to understand for a 7 class child

Very nice! I love it! It helped me a lot!!

Wow I can’t read?

agréable de vous rencontrer copains

Mille merci

Merci, C’est tres simple et utile 😉

French translation of 'presentation'

• presentation

Browse Collins English collocations presentation

Examples of 'presentation' in a sentence presentation

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• present-day
• present-day reality
• presentable
• presentation box
• presentation ceremony
• presentation skills
• All ENGLISH words that begin with 'P'

Related terms of presentation

• medal presentation
• oral presentation
• presentation style
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Translation of presentation – English–French dictionary

Presentation.

(Translation of presentation from the GLOBAL English-French Dictionary © 2016 K Dictionaries Ltd)

Translation of presentation | PASSWORD English-French Dictionary

(Translation of presentation from the PASSWORD English-French Dictionary © 2014 K Dictionaries Ltd)

Examples of presentation

Translations of presentation.

Get a quick, free translation!

Word of the Day

mum's the word

said when you tell someone, or agree with someone, to keep something a secret

Hidden in plain sight: words and phrases connected with hiding

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My power point keeps switching language to French even after I have changed it to English.

I have changed the language in the Slide Master, but it keeps switching back to French instead of English. Then I change it on the publication in the dictionary and language preference, but it keeps going back to French. What should I do?

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>> PPT picks up its default language from your keyboard layout in Windows

Or switches the keyboard to match the surrounding text if you have that option set.

Office Button | PowerPoint Options | Advanced | Editing Options

Check or uncheck "Automatically switch keyboard to match language of surrounding text"

If we'd just agree to limit ourselves to "One pressie, One language" things could be so much simpler.  But look at the bright side:  I can't imagine any way they could make it more complicated. 

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• 5 Steps to Getting Started with Llama 2
• The Llama Ecosystem: Past, Present, and Future
• Introducing Code Llama, a state-of-the-art large language model for coding
• Meta and Microsoft Introduce the Next Generation of Llama
• Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model.
• Llama 3 models will soon be available on AWS, Databricks, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake, and with support from hardware platforms offered by AMD, AWS, Dell, Intel, NVIDIA, and Qualcomm.
• We’re dedicated to developing Llama 3 in a responsible way, and we’re offering various resources to help others use it responsibly as well. This includes introducing new trust and safety tools with Llama Guard 2, Code Shield, and CyberSec Eval 2.
• In the coming months, we expect to introduce new capabilities, longer context windows, additional model sizes, and enhanced performance, and we’ll share the Llama 3 research paper.
• Meta AI, built with Llama 3 technology, is now one of the world’s leading AI assistants that can boost your intelligence and lighten your load—helping you learn, get things done, create content, and connect to make the most out of every moment. You can try Meta AI here .

Today, we’re excited to share the first two models of the next generation of Llama, Meta Llama 3, available for broad use. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use cases. This next generation of Llama demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning. We believe these are the best open source models of their class, period. In support of our longstanding open approach, we’re putting Llama 3 in the hands of the community. We want to kickstart the next wave of innovation in AI across the stack—from applications to developer tools to evals to inference optimizations and more. We can’t wait to see what you build and look forward to your feedback.

Our goals for Llama 3

With Llama 3, we set out to build the best open models that are on par with the best proprietary models available today. We wanted to address developer feedback to increase the overall helpfulness of Llama 3 and are doing so while continuing to play a leading role on responsible use and deployment of LLMs. We are embracing the open source ethos of releasing early and often to enable the community to get access to these models while they are still in development. The text-based models we are releasing today are the first in the Llama 3 collection of models. Our goal in the near future is to make Llama 3 multilingual and multimodal, have longer context, and continue to improve overall performance across core LLM capabilities such as reasoning and coding.

State-of-the-art performance

Our new 8B and 70B parameter Llama 3 models are a major leap over Llama 2 and establish a new state-of-the-art for LLM models at those scales. Thanks to improvements in pretraining and post-training, our pretrained and instruction-fine-tuned models are the best models existing today at the 8B and 70B parameter scale. Improvements in our post-training procedures substantially reduced false refusal rates, improved alignment, and increased diversity in model responses. We also saw greatly improved capabilities like reasoning, code generation, and instruction following making Llama 3 more steerable.

*Please see evaluation details for setting and parameters with which these evaluations are calculated.

In the development of Llama 3, we looked at model performance on standard benchmarks and also sought to optimize for performance for real-world scenarios. To this end, we developed a new high-quality human evaluation set. This evaluation set contains 1,800 prompts that cover 12 key use cases: asking for advice, brainstorming, classification, closed question answering, coding, creative writing, extraction, inhabiting a character/persona, open question answering, reasoning, rewriting, and summarization. To prevent accidental overfitting of our models on this evaluation set, even our own modeling teams do not have access to it. The chart below shows aggregated results of our human evaluations across of these categories and prompts against Claude Sonnet, Mistral Medium, and GPT-3.5.

Preference rankings by human annotators based on this evaluation set highlight the strong performance of our 70B instruction-following model compared to competing models of comparable size in real-world scenarios.

Our pretrained model also establishes a new state-of-the-art for LLM models at those scales.

To develop a great language model, we believe it’s important to innovate, scale, and optimize for simplicity. We adopted this design philosophy throughout the Llama 3 project with a focus on four key ingredients: the model architecture, the pretraining data, scaling up pretraining, and instruction fine-tuning.

Model architecture

In line with our design philosophy, we opted for a relatively standard decoder-only transformer architecture in Llama 3. Compared to Llama 2, we made several key improvements. Llama 3 uses a tokenizer with a vocabulary of 128K tokens that encodes language much more efficiently, which leads to substantially improved model performance. To improve the inference efficiency of Llama 3 models, we’ve adopted grouped query attention (GQA) across both the 8B and 70B sizes. We trained the models on sequences of 8,192 tokens, using a mask to ensure self-attention does not cross document boundaries.

Training data

To train the best language model, the curation of a large, high-quality training dataset is paramount. In line with our design principles, we invested heavily in pretraining data. Llama 3 is pretrained on over 15T tokens that were all collected from publicly available sources. Our training dataset is seven times larger than that used for Llama 2, and it includes four times more code. To prepare for upcoming multilingual use cases, over 5% of the Llama 3 pretraining dataset consists of high-quality non-English data that covers over 30 languages. However, we do not expect the same level of performance in these languages as in English.

To ensure Llama 3 is trained on data of the highest quality, we developed a series of data-filtering pipelines. These pipelines include using heuristic filters, NSFW filters, semantic deduplication approaches, and text classifiers to predict data quality. We found that previous generations of Llama are surprisingly good at identifying high-quality data, hence we used Llama 2 to generate the training data for the text-quality classifiers that are powering Llama 3.

We also performed extensive experiments to evaluate the best ways of mixing data from different sources in our final pretraining dataset. These experiments enabled us to select a data mix that ensures that Llama 3 performs well across use cases including trivia questions, STEM, coding, historical knowledge, etc.

Scaling up pretraining

To effectively leverage our pretraining data in Llama 3 models, we put substantial effort into scaling up pretraining. Specifically, we have developed a series of detailed scaling laws for downstream benchmark evaluations. These scaling laws enable us to select an optimal data mix and to make informed decisions on how to best use our training compute. Importantly, scaling laws allow us to predict the performance of our largest models on key tasks (for example, code generation as evaluated on the HumanEval benchmark—see above) before we actually train the models. This helps us ensure strong performance of our final models across a variety of use cases and capabilities.

We made several new observations on scaling behavior during the development of Llama 3. For example, while the Chinchilla-optimal amount of training compute for an 8B parameter model corresponds to ~200B tokens, we found that model performance continues to improve even after the model is trained on two orders of magnitude more data. Both our 8B and 70B parameter models continued to improve log-linearly after we trained them on up to 15T tokens. Larger models can match the performance of these smaller models with less training compute, but smaller models are generally preferred because they are much more efficient during inference.

To train our largest Llama 3 models, we combined three types of parallelization: data parallelization, model parallelization, and pipeline parallelization. Our most efficient implementation achieves a compute utilization of over 400 TFLOPS per GPU when trained on 16K GPUs simultaneously. We performed training runs on two custom-built 24K GPU clusters . To maximize GPU uptime, we developed an advanced new training stack that automates error detection, handling, and maintenance. We also greatly improved our hardware reliability and detection mechanisms for silent data corruption, and we developed new scalable storage systems that reduce overheads of checkpointing and rollback. Those improvements resulted in an overall effective training time of more than 95%. Combined, these improvements increased the efficiency of Llama 3 training by ~three times compared to Llama 2.

Instruction fine-tuning

To fully unlock the potential of our pretrained models in chat use cases, we innovated on our approach to instruction-tuning as well. Our approach to post-training is a combination of supervised fine-tuning (SFT), rejection sampling, proximal policy optimization (PPO), and direct preference optimization (DPO). The quality of the prompts that are used in SFT and the preference rankings that are used in PPO and DPO has an outsized influence on the performance of aligned models. Some of our biggest improvements in model quality came from carefully curating this data and performing multiple rounds of quality assurance on annotations provided by human annotators.

Learning from preference rankings via PPO and DPO also greatly improved the performance of Llama 3 on reasoning and coding tasks. We found that if you ask a model a reasoning question that it struggles to answer, the model will sometimes produce the right reasoning trace: The model knows how to produce the right answer, but it does not know how to select it. Training on preference rankings enables the model to learn how to select it.

Building with Llama 3

Our vision is to enable developers to customize Llama 3 to support relevant use cases and to make it easier to adopt best practices and improve the open ecosystem. With this release, we’re providing new trust and safety tools including updated components with both Llama Guard 2 and Cybersec Eval 2, and the introduction of Code Shield—an inference time guardrail for filtering insecure code produced by LLMs.

We’ve also co-developed Llama 3 with torchtune , the new PyTorch-native library for easily authoring, fine-tuning, and experimenting with LLMs. torchtune provides memory efficient and hackable training recipes written entirely in PyTorch. The library is integrated with popular platforms such as Hugging Face, Weights & Biases, and EleutherAI and even supports Executorch for enabling efficient inference to be run on a wide variety of mobile and edge devices. For everything from prompt engineering to using Llama 3 with LangChain we have a comprehensive getting started guide and takes you from downloading Llama 3 all the way to deployment at scale within your generative AI application.

A system-level approach to responsibility

We have designed Llama 3 models to be maximally helpful while ensuring an industry leading approach to responsibly deploying them. To achieve this, we have adopted a new, system-level approach to the responsible development and deployment of Llama. We envision Llama models as part of a broader system that puts the developer in the driver’s seat. Llama models will serve as a foundational piece of a system that developers design with their unique end goals in mind.

Instruction fine-tuning also plays a major role in ensuring the safety of our models. Our instruction-fine-tuned models have been red-teamed (tested) for safety through internal and external efforts. ​​Our red teaming approach leverages human experts and automation methods to generate adversarial prompts that try to elicit problematic responses. For instance, we apply comprehensive testing to assess risks of misuse related to Chemical, Biological, Cyber Security, and other risk areas. All of these efforts are iterative and used to inform safety fine-tuning of the models being released. You can read more about our efforts in the model card .

Llama Guard models are meant to be a foundation for prompt and response safety and can easily be fine-tuned to create a new taxonomy depending on application needs. As a starting point, the new Llama Guard 2 uses the recently announced MLCommons taxonomy, in an effort to support the emergence of industry standards in this important area. Additionally, CyberSecEval 2 expands on its predecessor by adding measures of an LLM’s propensity to allow for abuse of its code interpreter, offensive cybersecurity capabilities, and susceptibility to prompt injection attacks (learn more in our technical paper ). Finally, we’re introducing Code Shield which adds support for inference-time filtering of insecure code produced by LLMs. This offers mitigation of risks around insecure code suggestions, code interpreter abuse prevention, and secure command execution.

With the speed at which the generative AI space is moving, we believe an open approach is an important way to bring the ecosystem together and mitigate these potential harms. As part of that, we’re updating our Responsible Use Guide (RUG) that provides a comprehensive guide to responsible development with LLMs. As we outlined in the RUG, we recommend that all inputs and outputs be checked and filtered in accordance with content guidelines appropriate to the application. Additionally, many cloud service providers offer content moderation APIs and other tools for responsible deployment, and we encourage developers to also consider using these options.

Deploying Llama 3 at scale

Llama 3 will soon be available on all major platforms including cloud providers, model API providers, and much more. Llama 3 will be everywhere .

Our benchmarks show the tokenizer offers improved token efficiency, yielding up to 15% fewer tokens compared to Llama 2. Also, Group Query Attention (GQA) now has been added to Llama 3 8B as well. As a result, we observed that despite the model having 1B more parameters compared to Llama 2 7B, the improved tokenizer efficiency and GQA contribute to maintaining the inference efficiency on par with Llama 2 7B.

For examples of how to leverage all of these capabilities, check out Llama Recipes which contains all of our open source code that can be leveraged for everything from fine-tuning to deployment to model evaluation.

What’s next for Llama 3?

The Llama 3 8B and 70B models mark the beginning of what we plan to release for Llama 3. And there’s a lot more to come.

Our largest models are over 400B parameters and, while these models are still training, our team is excited about how they’re trending. Over the coming months, we’ll release multiple models with new capabilities including multimodality, the ability to converse in multiple languages, a much longer context window, and stronger overall capabilities. We will also publish a detailed research paper once we are done training Llama 3.

To give you a sneak preview for where these models are today as they continue training, we thought we could share some snapshots of how our largest LLM model is trending. Please note that this data is based on an early checkpoint of Llama 3 that is still training and these capabilities are not supported as part of the models released today.

We’re committed to the continued growth and development of an open AI ecosystem for releasing our models responsibly. We have long believed that openness leads to better, safer products, faster innovation, and a healthier overall market. This is good for Meta, and it is good for society. We’re taking a community-first approach with Llama 3, and starting today, these models are available on the leading cloud, hosting, and hardware platforms with many more to come.

Try Meta Llama 3 today

We’ve integrated our latest models into Meta AI, which we believe is the world’s leading AI assistant. It’s now built with Llama 3 technology and it’s available in more countries across our apps.

You can use Meta AI on Facebook, Instagram, WhatsApp, Messenger, and the web to get things done, learn, create, and connect with the things that matter to you. You can read more about the Meta AI experience here .

Visit the Llama 3 website to download the models and reference the Getting Started Guide for the latest list of all available platforms.

You’ll also soon be able to test multimodal Meta AI on our Ray-Ban Meta smart glasses.

As always, we look forward to seeing all the amazing products and experiences you will build with Meta Llama 3.

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