Pratique du Shadowing: Introducing GPT-6 Astra for developers - Apprendre l'anglais à l'oral avec la vidéo

Création de la leçon...
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GPT-6 Astra is here.
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It's our latest frontier model and the best model in the world for tasks where raw intelligence matters.
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For my own projects, Astra feels like working with an experienced collaborator.
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I'm able to hand it bigger, less well-defined tasks with minimal handholding.
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And whether you're coding, writing, designing, or just working on things that require a little bit more intellectual horsepower, you'll find that Astra delivers great results,
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often on the first attempt.
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So let's talk about the model's new capabilities, starting with computer use.
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You might already be familiar with computer use.
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It's a capability that lets a model use a computer or browser like you or I would.
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With Astra, the model is more accurate and more efficient when using a computer.
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It's easiest to show this in the ChatGPT app, but Astra's improved skills are also available in the API.
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I'm going to have it illustrate where where I'm standing.
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I'll take a photo, then send it to Codex to paint.
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Use Krita to paint this picture in the style of Van Gogh and add the Golden Gate Bridge in the background.
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Astra has to keep track of the picture I asked for while working through the app's controls.
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It's using screenshots to see what's happening while keeping the app in the background, meaning I can stay focused on other work.
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The model is able to paint a hopefully recognizable picture far faster and far better than I could have done.
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The same ability can help with the workflows developers use every day, whether you're filling out forms for an API key or performing QA on a mobile app.
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When it comes to creativity and knowledge work, we've also seen Astra produce significantly better outputs than previous models.
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We took several prompts of demos, games, and tools we've built with previous models and rebuilt them at different reasoning levels.
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Across the board, Astra has more attention to detail, better understanding of the user's prompt, and can build more sophisticated outputs.
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In particular, it excels at building 3D models.
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I've seen it make incredible renderings of gardens, shipyards, animals, cityscapes, even Dyson spheres.
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In my own experience, I've found Astra's outputs, from slideshows to essays, significantly easier to read and work with than other models I've tried.
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Its personality feels more natural to me, especially in the back and forth when I'm giving it feedback.
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As you might expect, Astra excels at long-running tasks.
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And as you give models longer, more involved pieces of work, you need better ways to work with them.
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That's why we're bringing asynchronous tool calling and steering to the Responses API.
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First, async tools.
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With asynchronous tool calling, the model can keep working on other parts of a task while a tool call runs.
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When the results are available, it can use that information to continue.
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Steering lets you give the model new context or change its direction while a response is still in progress.
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If you view steering in codecs, this should feel familiar.
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Let's go ahead and give the model a task and then change what we're asking for while it's working.
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You can see it pick up my new instruction and adjust its next steps while the tool it already started continues running.
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I can change the direction without having to cancel the running tool or start the task over.
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And I get the final result with the new context incorporated.
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Astra is now available in ChatGPT, Codex, and the API.
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Try it on your most challenging tasks and take a close look at the results.
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Happy building.
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Vocabulaire et conseils d’expression pour cette leçon

Cette vidéo contient 40 phrases et 604 mots à répéter en shadowing. La partie parlée dure 3:14. Le locuteur parle vite, environ 187 mots par minute : attendez-vous à des liaisons et à des sons réduits. Seuls 81 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.

Vocabulaire clé de cette vidéo

15 mots de la vidéo à retenir, avec leur prononciation et leur sens :

MotPrononciationSens
output nom/ˈaʊtpʊt/sortie
steer verbe/stɪɹ/conduire, guider
capability nom/ˌkeɪ.pəˈbɪl.ɪ.ti/capacité
prompt verbe/pɹɑmpt/inciter
excel verbe/ɪkˈsɛl/surpasser
efficient adjectif/ɪˈfɪʃənt/efficace
skill nom/skɪl/habileté, compétence
feedback nom/ˈfiːdˌbæk/évaluation, réaction
define verbe/dɪˈfaɪn/déterminer
intellectual adjectif/ˌɪntəˈlɛkt͡ʃʊəl/intellectuel
essay nom/ˈɛs.eɪ/essai, rédaction
developer nom/dɪˈvɛləpɚ/concepteur, développeur
cancel verbe/ˈkæn.sl̩/annuler, résilier
instruction nom/ɪnˈstɹʌkʃən/instruction
minimal adjectif/ˈmɪn.ə.məl/minimum

Les verbes à particule que vous entendrez

MotPrononciationSens
fill out verbe/fɪl ˈaʊt/remplir, compléter
go ahead verbe/ˌɡoʊ əˈhɛd/vas-y, allez-y
pick up verbesoulever

Prononciation à surveiller

Le locuteur utilise 15 contractions et formes réduites, comme I'm, I've, we're. Prononcez-les sous leur forme courte, telles que vous les entendez.

  • Les sons « sh » et « zh »: efficient /ɪˈfɪʃənt/, instruction /ɪnˈstɹʌkʃən/, screenshot /ˈskriːn.ʃɑt/, shipyard /ˈʃɪpˌjɑɹd/, slideshow /ˈslaɪdˌʃoʊ/
  • Mots longs — placez bien l’accent: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, intellectual /ˌɪntəˈlɛkt͡ʃʊəl/, developer /dɪˈvɛləpɚ/, creativity /kri.eɪˈtɪv.ᵻ.ti/, incorporate /ɪŋˈkɔɹ.pɚ.eɪt/

Comment s’entraîner avec cette vidéo

  1. Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
  2. Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
  3. Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme output, steer, capability.

Qu'est-ce que la technique du Shadowing ?

Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.

Technique du shadowing : lire le guide complet étape par étape →