We @scale_ai are announcing a strategic partnership @OpenAI today to be their preferred partner for enterprise fine-tuning. We are excited about the future of providing the perfect model for each enterprise's unique needs. Read more in
LLMS
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Meta Releases Code Llama, Advanced Open-Source Coding Model
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Today we’re releasing Code Llama, a large language model built on top of Llama 2, fine-tuned for coding & state-of-the-art for publicly available coding tools.
— AI at Meta (@AIatMeta) 24 août 2023
Keeping with our open approach, Code Llama is publicly-available now for both research & commercial use.
More ⬇️Today we’re releasing Code Llama, a large language model built on top of Llama 2, fine-tuned for coding & state-of-the-art for publicly available coding tools. Keeping with our open approach, Code Llama is publicly-available now for both research & commercial use. More
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OpenAI partners with Scale AI for enterprise GPT-3.5 fine-tuning
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We’re partnering with @scale_AI to provide support for enterprises fine-tuning GPT-3.5 on their proprietary data.
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LangSmith Tutorial: Monitor and Evaluate LLM Applications
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Just uploaded a brand-new tutorial on how to use @LangChain
's new LangSmith platform to monitor and evaluate your LLM-powered applications. Go check it out here: https://
youtu.be/tFXm5ijih98 Awesome platform @hwchase17 -
CodeLlama 34B Significantly Improves Coding Performance Over Llama 2
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Llama 2 is awesome, however, coding tasks were not its strong suite. (See HumanEval, a coding-related evaluation task from the paper Evaluating Large Language Models Trained on Code.) The new 34B CodeLlama model is twice as good as the original 70B Llama 2 model and closes the
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CodeLlama: Meta’s Llama2 Fine-Tuned for Code Tasks
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CodeLlama — a version of Llama2 that was fine-tuned for code tasks is live now. Available in 7B, 13B and 34B. https://
ai.meta.com/blog/code-llam
a-large-language-model-coding/
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Hugging Face Reaches $4.5B Valuation in New Funding Round
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Hugging Face, the open source darling that has become pretty much the home of all OSS LLM and Diffusion models, has hit a $4.5 billion valuation with a new funding round. I spoke with Clement Delangue about what it means and how they balance enterprise plans and community growth.
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Skepticism about few-shot learning effectiveness and token costs
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5-50 examples, I am skeptical that this can even produce good results. Hm, on their website they include a cost example with 100,000 tokens, so this must surely be more than 5-50 examples?
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Llama 2 Apps and Experiences on MediaTek Devices
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We're excited to see all the new apps and experiences enabled by Llama 2 on MediaTek-powered devices!
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Adding Chat History to PromptTemplate with Llama2
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You can now add {chat_history} into PromptTemplate. Here's how you can use Replicate running Llama2 with a PromptTemplate: