Depends what you're looking for. Each group of open source research projects has a separate server. There are ex-OAI people on them, but haven't seen a current-OAI person on any frankly…
OPEN SOURCE
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Try LLaVA chatbot, free open source alternative to GPT-4V
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Don’t have access to GPT-4V yet? Try LLaVA chatbot, a free open source model hosted on HuggingFace: http://
llava.hliu.cc -
Zoofs: Nature-Inspired Feature Selection Python Library
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zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. From swarm-intelligence to physics-based to Evolutionary. https://
bit.ly/3F31Om1 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
2023 Breakthrough Year for AI Software Innovation and Research
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There’s never been anything like 2023 in software The rate + quality of new products / research in OSS, startups, bigtech, and on arXiv has been breathtaking + inspiring. Playing w/ so many different LLMs still gives me daily goosebumps. And we’re just getting started.
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AutoTrain Advanced Reaches 100k PyPI Downloads Milestone
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AutoTrain Advanced has crossed 100k pypi downloads in such a short time If you don't know about it yet, its a solution for both coders and non-coders to train machine learning models effortlessly! Check it out now!!! pip install autotrain-advanced
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Fine-tune Mistral7B on Single GPU with Ludwig AI
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Check out this new deep dive blog post from @ludwig_ai community member @AlexSherstinsky and project maintainer @grg_arnav to learn how you can efficiently fine-tune #Mistral7B on a single GPU. Notebooks included! Link to the tutorial: https://
pbase.ai/45tmSwM -
BTLM Achieves 7B Performance in 3B Parameter Model
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In Davis Blalock's latest arXiv roundup, BTLM is mentioned as achieving 7B parameter performance in a 3B parameter model. Davis mentions, "I’m not sure I’ve seen any other non-GPU hardware vendors do this with a model of this size and quality." Read here: https://
dblalock.substack.com/i/136702777/bt
lm-b-k-b-parameter-performance-in-a-b-parameter-model
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Comparing Closed vs Open Source Models: Deployment Costs and Fairness
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how can you compare a non open source, non deployable model with an open source model which is deployable? whats the actual cost fpr deploying gpt3.5 or gpt4? i also have a lot of respect for openai but not for comparison of apples and oranges.