Modular: Do LLMs eliminate the need for programming languages? https://
bit.ly/3X8nMfz #AI #MachineLearning #DeepLearning #LLMs #DataScience
CODE
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Do Large Language Models Replace Programming Languages?
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OpenAI Functions Integration with RetrievalQA in LangChain
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OpenAI functions RetrievalQA We've put a lot of effort into making @OpenAI functions usable as their own standalone chains This now means that you can easily use them as part of other chains – including RetrievalQA and ConversationalRetrievalQA Docs: https://
python.langchain.com/docs/modules/c
hains/additional/openai_functions_retrieval_qa
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Impact of AI Tools on Developer Experience
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GitHub Study: What is the impact of AI tools on developer experience? https://actuia.com/actualite/etude-github-quel-est-limpact-des-outils-dia-pour-lexperience-des-developpeurs/
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Hugging Face invites community collaboration with git-based platform
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we'd love to have you at @huggingface Let us know if we can help in any way! And it's just git underneath so you wouldn't be locked in any way. cc @_josh_meyer_ @reach_vb
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Slack Should Upgrade Audio Transcription Model to Whisper
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Dear @Slack team, can you update your audio message transcription model to a state-of-the-art one? Whisper for instance is much better than the one you use, it is computationally efficient AND IT IS MULTILINGUAL Demo by @xenovacom : https://
huggingface.co/spaces/Xenova/
whisper-web
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Which MATLAB Toolboxes Do Developers Rely On Most
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Which @MATLAB toolboxes do you rely on the most?
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Nocturnal Coding Boosts Developer Focus and Productivity
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I love coding at night — always find a next level of focus
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GPT Engineer: AI-Powered Code Generation from Natural Language Specifications
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GPT Engineer
— AK (@_akhaliq) 20 juin 2023
github: https://t.co/I3oXZXmvYT
Specify what you want it to build, the AI asks for clarification, and then builds it.
GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based… pic.twitter.com/UvMNw2RgAOGPT Engineer github: https://
github.com/AntonOsika/gpt
-engineer
… Specify what you want it to build, the AI asks for clarification, and then builds it. GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based -
Full Finetuning Not Always Necessary for Large Language Models
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I don't think full finetuning is necessary, except as a baseline perhaps. Even without PEFT, it often doesn't make sense to tune all layers: (from my article https://
magazine.sebastianraschka.com/p/finetuning-l
arge-language-models
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ML Debugging: Prioritize Reproducer Speed Over Bug Fixes
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Bugs in ML code, no matter how surprising, are almost always fixable once you create a reproducer than runs in 5 minutes or less. If your reproducer takes an hour or longer, for a confusing bug often better to work on golfing down its runtime rather than trying to fix the bug.