Can you fine-tune #LLMs without being an expert? Yep, it's possible (hint: open-source @ludwig_ai
) Don't take it from us though. Check out this awesome post from #AI expert and coach, Yogesh Haribhau Kulkarni (PhD). https://
pbase.ai/46Jn3o5
OPEN SOURCE
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Fine-tune LLMs easily with Ludwig AI without expertise
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Omega: Autonomous LLM Agent for Image Processing Code
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⚡️This is one of the cooler projects we've seen recently
— LangChain (@LangChain) 6 décembre 2023
Omega, an autonomous LLM agent that writes image processing and analysis code, fixes its mistakes, accesses the napari viewer, makes widgets, & more! https://t.co/BrIpRkfxthThis is one of the cooler projects we've seen recently Omega, an autonomous LLM agent that writes image processing and analysis code, fixes its mistakes, accesses the napari viewer, makes widgets, & more!
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Google adopts Meta’s approach training smaller models massive datasets
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And Google now running with Meta's approach of training smaller models with massive data sets. If you're curious about size, the open source RedPajamas open data set is 30T tokens. We can prob safely assume Google has access to much more.
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EfficientSAM: Faster Smaller Version of Segment Anything Model
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EfficientSAM !
You liked SAM (Segment Anything Model)?
You're gonna love EfficientSAM!
A smaller, faster, and almost as good version of SAM. -
Meta soutient le mouvement open-source IA
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Kinda surprising that Meta is the one backing the open-source AI movement. Glad to see it happening.
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Open Source Summit Japan 2023: Day 2 Conference Highlights
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Open Source Summit Japan 2023: Day 2
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Follow Top NLP Researchers: INSTRUCTOR Embedding Model Creators
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here are two awesome researchers you should follow: @WeijiaShi2 at UW and @wzhao_nlp at Cornell!! some of their recent work: weijia shi (
@WeijiaShi2
): – built INSTRUCTOR, the embedding model that lots of startups / companies use (
http://
arxiv.org/abs/2212.09741)
– proposed a more -
101 Guide to Fine-tuning Open-source LLMs
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Here's your 101 Guide to #Fine-tuning Open-source #LLMs thanks to @AnalyticsVidhya and @predibase ML Engineer, @grg_arnav https://
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Open vs Closed AI: Governance Without Blame Culture
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when did having someone to blame become a requirement to advance in this field? governance and guardrails is needed but closed ai will never get us there as it is will be "closed" – with open ai, only thing you have to need is smart people on all the sides. and if you believe