GPT-3 (French Wikipedia)
Analysis of information sources in references of the Wikipedia article "GPT-3" in French language version.
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analyticsindiamag.com
- Ram Sagar, « OpenAI Releases GPT-3, The Largest Model So Far », Analytics India Magazine, (lire en ligne, consulté le )
arr.am
- Arram, « GPT-3: An AI that's eerily good at writing almost anything », sur Arram Sabeti, (consulté le )
artificiallawyer.com
- (en-GB) artificiallawyer, « GPT-3 – A Game Changer For Legal Tech? », sur Artificial Lawyer, (consulté le )
arxiv.org
- (en) Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever et Dario Amodei, « Language Models are Few-Shot Learners », ArXiv et Advances in Neural Information Processing Systems 33, (ISSN 2331-8422, OCLC 228652809, DOI 10.48550/ARXIV.2005.14165, arXiv 2005.14165, lire en ligne) :
.« To study the dependence of ML performance on model size, we train 8 different sizes of model, ranging over three orders of magnitude from 125 million parameters to 175 billion parameters, with the last being the model we call GPT-3. »
- (en) Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan et al., « Language Models are Few-Shot Learners », .
d4mucfpksywv.cloudfront.net
- « Language Models are Unsupervised Multitask Learners », OpenAI blog, (lire en ligne, consulté le ) :
« "GPT-2, is a 1.5B parameter Transformer" »
developpez.com
intelligence-artificielle.developpez.com
- « Un chatbot médical GPT-3 d'OpenAI serait-il une bonne idée ? Il a dit à un patient simulé de se suicider lors d'un test réalisé par Nabla », sur Developpez.com (consulté le )
doi.org
dx.doi.org
- (en) Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever et Dario Amodei, « Language Models are Few-Shot Learners », ArXiv et Advances in Neural Information Processing Systems 33, (ISSN 2331-8422, OCLC 228652809, DOI 10.48550/ARXIV.2005.14165, arXiv 2005.14165, lire en ligne) :
.« To study the dependence of ML performance on model size, we train 8 different sizes of model, ranging over three orders of magnitude from 125 million parameters to 175 billion parameters, with the last being the model we call GPT-3. »
engadget.com
- (en) China's gigantic multi-modal AI is no one-trick pony, engadget, juin 2021
issn.org
portal.issn.org
- (en) Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever et Dario Amodei, « Language Models are Few-Shot Learners », ArXiv et Advances in Neural Information Processing Systems 33, (ISSN 2331-8422, OCLC 228652809, DOI 10.48550/ARXIV.2005.14165, arXiv 2005.14165, lire en ligne) :
.« To study the dependence of ML performance on model size, we train 8 different sizes of model, ranging over three orders of magnitude from 125 million parameters to 175 billion parameters, with the last being the model we call GPT-3. »
openai.com
openai.com
- (en) « New GPT-3 capabilities: Edit & insert », sur OpenAI,
- « OpenAI API », sur OpenAI,
beta.openai.com
- (en) « OpenAI API », sur beta.openai.com (consulté le )
siecledigital.fr
- « Utilisé comme chatbot médical, GPT-3 conseille à un patient de se suicider », sur Siècle Digital, (consulté le )
techcrunch.com
- « TechCrunch – Startup and Technology News », sur TechCrunch, (consulté le ) : « If you’ve ever wanted to try out OpenAI’s vaunted machine learning toolset, it just got a lot easier. The company has released an API that lets developers call its AI tools in on “virtually any English language task.” »
- « Writing helper Copy.ai raises $2.9M in a round led by Craft Ventures », sur copy.ai, (consulté le )
- (en-US) Natasha Lomas, « Hypotenuse AI wants to take the strain out of copywriting for e-commerce », sur TechCrunch, (consulté le )
technologyreview.com
- (en) Will Douglas Heaven, « OpenAI’s new language generator GPT-3 is shockingly good—and completely mindless », MIT Technology Review, (lire en ligne).
- (en) Inside a radical new project to democratize AI, MIT Technology Review.
textcortex.com
- (en-US) « Democratizing Written Communication - TextCortex Raises $1.2 Million Pre-Seed To Advance Proprietary NLG Capabilities », TextCortex AI, (lire en ligne, consulté le )
the-decoder.com
- (en) Matthias Bastian, « GPT-3.5: OpenAI's latest GPT-3 model generates better and longer texts », sur the decoder, (consulté le )
theverge.com
- (en) James Vincent, « OpenAI announces GPT-4 AI language model », sur theverge.com, (consulté le ).
- Josh Dzieza, « Can AI write good novels? », The Verge, (lire en ligne, consulté le )
towardsdatascience.com
- Frederik Bussler, « Will GPT-3 Kill Coding? », sur Towards Data Science, (consulté le )
- (en) Frederik Bussler, « Will GPT-3 Kill Coding? », sur Medium, (consulté le )
wikidata.org
- (en) Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever et Dario Amodei, « Language Models are Few-Shot Learners », ArXiv et Advances in Neural Information Processing Systems 33, (ISSN 2331-8422, OCLC 228652809, DOI 10.48550/ARXIV.2005.14165, arXiv 2005.14165, lire en ligne) :
.« To study the dependence of ML performance on model size, we train 8 different sizes of model, ranging over three orders of magnitude from 125 million parameters to 175 billion parameters, with the last being the model we call GPT-3. »
worldcat.org
- (en) Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever et Dario Amodei, « Language Models are Few-Shot Learners », ArXiv et Advances in Neural Information Processing Systems 33, (ISSN 2331-8422, OCLC 228652809, DOI 10.48550/ARXIV.2005.14165, arXiv 2005.14165, lire en ligne) :
.« To study the dependence of ML performance on model size, we train 8 different sizes of model, ranging over three orders of magnitude from 125 million parameters to 175 billion parameters, with the last being the model we call GPT-3. »
zdnet.com
- Tiernan Ray, « OpenAI’s gigantic GPT-3 hints at the limits of language models for AI », sur ZDNet, (consulté le )