GitHub – AntonOsika/gpt-engineer: Specify what you want it to build, the AI asks for clarification, and then builds it.
https://bit.ly/3pnaWgS It generates an entire codebase based on a prompt. #AI #MachineLearning #DeepLearning #LLMs #DataScience
OPEN SOURCE
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GPT Engineer: Automatic AI-Powered Codebase Generation
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LLaMA Training and PEFT for Neural Networks Zero to Hero
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LLaMA training & PEFT would be a very appreciated entry in NN Zero to Hero :-). And plays well with recent entries(nanoGPT, State of GPT).
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Python Officially Accepts GIL Removal Proposal
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No More GIL!
the Python team has officially accepted the proposal. Congrats @colesbury on his multi-year brilliant effort to remove the GIL, and a heartfelt thanks to the Python Steering Council and Core team for a thoughtful plan to make this a reality. -
Pathways Models and PaLM-E Are Not Open-Source
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All Pathways models including PaLM-E are not open-source as far as I know.
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Using PyTorch Vision ViT as Baseline for Model Training
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No that I am aware (but I also haven't looked too deeply). I would probably use the original ViT in Torchvision as a baseline: https://
pytorch.org/vision/main/_m
odules/torchvision/models/vision_transformer.html#vit_b_16
… I have a companion article here showing how to accelerate the training on that model: -
Open-Source Model Fine-tuning Methods and Training Flexibility
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Yes, any finetuning method is allowed, afaik. Technically, you could also just further (pre)train the model. Anything that runs <24 h on open source code and openly available data.
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RAG and Agents Drive Llama 2 Potential Forward
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And then we've also seen both the rise of RAG and increasing interest in agents—both of which feed directly back into the potential of Llama 2. Of course there's plenty more that happened, but what I like to cover is not just the news—it's what people are talking about.
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Meta’s Llama 2 timing strategy reshapes AI landscape
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There's, of course, Llama 2 and its downstream effects. But reviewing everything that happened this month (both in public and in private conversations) it turns out Meta hit the bullseye on timing here.
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LangSmith Updates and Open Source Recap Released
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First edition out LangSmith updates, Open Source recap, Use-cases we love… and some sneak previews of things on the horizon Concise, high density. s/o @zebriez
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Meta Publishes Llama 2 Technical Paper for Community Development
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To better enable the community to build on our work — and contribute to the responsible development of LLMs — we've published further details about the architecture, training compute, approach to fine-tuning & more for Llama 2 in a new paper. Full paper https://
bit.ly/44JAELQ