Has Amazon Lost The AI Race?
#AI #AIio #BigData #ML #NLU #Futureofwork http://
ow.ly/7jXN30svSef
AI
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Has Amazon Lost The AI Race? Technology and Market Competition
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Amazon’s Position in the Artificial Intelligence Competition
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Has Amazon Lost The AI Race?
#AI #AIio #BigData #ML #NLU #Futureofwork @IIoT_World @ipfconline1 @jblefevre60 @JimMarous @insurtechtalk @KirkDBorne @kuriharan @LouisSerge http://
ow.ly/rMF330svStT -
LLMs Simplified: Pretraining and Fine-tuning Made Easy with PyTorch
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The "Sweet Lesson" is that using LLMs is simpler than we thought! Instead of complicated symbolic computations, we download a pretrained open-source LLM and finetune it in supervised fashion via <100 lines of PyTorch code.
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Grace Hopper: Computing Pioneer Beyond Age Barriers
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To give context on age, Grace Hopper began computing at 38, completed the first compiler at 46, helped shape COBOL at 53, kept developing COBOL for the Navy in her 70s, retired from the Navy at 80 & then became a consultant for the Digital Equipment Corporation. v/
@cooperx86 -
LLM in Production: Essential Playlist by MLOps Community
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LLM in Production – By MLOps Community This is an excellent playlist of LLMs in Production. Contains great talks and discussions around LLMs, their use-cases and how to make value with them. https://
youtube.com/playlist?list=
PL3vkEKxWd-us5YvvuvYkjP_QGlgUq3tpA
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Open Resources for PhD Success in AI and NLP
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GitHub – zhijing-jin/nlp-phd-global-equality: A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP https://
bit.ly/3CzRsIW #AI #MachineLearning #DeepLearning #LLMs #DataScience -
The 12 Biggest AI Mistakes You Must Avoid
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The 12 Biggest AI Mistakes You Must Avoid
#AI #AIio #BigData #ML #NLU #Futureofwork http://
ow.ly/xB8f30svSee -
12 Biggest AI Mistakes You Must Avoid
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The 12 Biggest AI Mistakes You Must Avoid
#AI #AIio #BigData #ML #NLU #Futureofwork @gp_pulipaka @stratorob @PetiotEric @EvanKirstel @Fgraillot @HaroldSinnott @HeinzVHoenen @helene_wpli http://
ow.ly/7jq330svStS -
MIT Launches Free Introduction to Deep Learning Course
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For those who want to learn Deep Learning: "Introduction to Deep Learning" is a new FREE course just released by MIT. You can stream it directly from YouTube: https://youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI Great opportunity!
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Critique des problèmes méthodologiques dans l’évaluation GPT-4
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> "what hit most was that it got uploaded without coauthor permission" Sure, this was another issue. But wasn't the core issue the flawed evaluation setup the authors used? Using GPT-4 to score itself? And repeated prompting until the answer was correct, thus reaching 100%?