This is a great point beyond the direct news implications…What does this deal mean for how quotes and other info in various stories are used to train OpenAI's models? Will people be worried their words and ideas might be misused by LLMs?
LLMS
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LangChain Launches Gemini API Integration Package
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LangChain Gemini Gemini API access is out! Access it through LangChain with our first standalone integration package: `pip install langchain-google-genai` We're also launching an integration guide showing how to: Stream results
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SambaNova Sponsors NeurIPS 2023 Instruction Tuning Workshop
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@SambaNovaAI is a proud sponsor of the ITIF "Instruction Tuning and Instruction Following" workshop at #NeurIPS2023! The workshop will cover exciting research in ITIF and evaluation of instruction tuned models. The workshop features invited talks, peer reviewed papers, and a -
Probabilistic Models and Text Embeddings: Learning p(e)
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for sure, the probabilistic breakdown is the same: given text sequence x and its embedding e, p(x) = p(x | e) p(e). this looks a lot like a latent variable model with latent embedding e in my case p(x | e) is done by vec2text with openAI embeddings; we just need to learn p(e)
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Free LLM Course from Gen AI 360 Foundational Model Certification
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Jump on our free LLM course from the Gen AI 360 Foundational Model Certification (Built in collaboration with Activeloop, Towards AI, and the Intel Disruptor Initiative): https://
learn.activeloop.ai/courses/llms/?
utm_source=social&utm_medium=youtube&utm_campaign=llmcourse
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RLHF and RLAIF: Training Techniques Revolutionizing Language Models
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Discover the magic behind ChatGPT's effectiveness in our deep dive into RLHF and its innovative counterpart, RLAIF. Learn how these training techniques are revolutionizing language models, making them safer, smarter, and more efficient.
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Reinforcement Learning from Human Feedback Explained and RLAIF
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Reinforcement Learning from Human Feedback Explained (and RLAIF) Learn more: https://
youtu.be/_66Qp_xZ8Fw The video was made for the LLM course with @activeloop and @towards_AI
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Groq LPU Inference Engine Demo at DoDIIS23 Conference
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Low latency is critical to unlock the full potential of LLMs, delivering results in time for mission critical applications. Join us at @DefenseIntel
's #DoDIIS23 booth #1520 to see a demo of the #Groq #LPU ™ Inference Engine, delivering 10x better performance & precision at scale -
Language Model Fine-Tuning in Embedding Space
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fun idea I tested out this morning: Language model fine-tuning in embedding space here's the idea: learn a model of *embeddings* of a certain text distribution; then, to generate text, sample embedding and map back to text with vec2text this lets us generate language without
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New RLHF Short Course for Large Language Model Alignment
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New short course on Reinforcement Learning from Human Feedback! RLHF is one of the key techniques that led to the rise of modern LLMs. It is used to align LLMs with human preferences, to make them more honest, helpful and harmless, by
— Andrew Ng (@AndrewYNg) 13 décembre 2023
(i) learning a reward function that mimics… pic.twitter.com/hmA5P3owV8New short course on Reinforcement Learning from Human Feedback! RLHF is one of the key techniques that led to the rise of modern LLMs. It is used to align LLMs with human preferences, to make them more honest, helpful and harmless, by (i) learning a reward function that mimics