Today at @Oracle CloudWorld, @aidangomez (Cohere CEO & cofounder) & Greg Pavlik (SVP, OCI) unveiled Oracle's new Gen AI service in collaboration with Cohere. Using Cohere’s LLMs will transform business operations & user experiences, ensuring data privacy. https://
hubs.li/Q022WmY50
LLMS
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Oracle Launches Gen AI Service with Cohere LLMs
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Hugging Face releases IDEFICS StarCoder and BLOOM models
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t'as vu https://
huggingface.co/blog/idefics https://
huggingface.co/blog/starcoder https://
bigscience.huggingface.co/blog/bloom ? -
Groq Booth and Security Stage Demo at Applied Live Austin
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Don't miss the fun at booth #620 today and tomorrow at @AppliedEvents in Austin, TX. And you can see our public demo on the Security Stage at 2:50 CT. #AppliedLive #LPU #LanguageProcessingUnit #GenAI
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OpenAI Enables Fine-Tuning of Already Fine-Tuned Models
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More good @OpenAI fine-tuning developer news: the team just enabled fine-tuning existing fine-tuned models. Now you can continue improving a model over time without needing to start from scratch (useful for situations where more or fresher data becomes available, etc)!
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How LLMs Self-Assess: Humanlike Machine Evaluation Explained
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Ever wondered how #LLMs evaluate the outputs of their counterparts in a way that’s strikingly humanlike? Dive into our latest blog to uncover what’s behind machine ‘self-assessment’ — and why it’s revolutionizing how we think about #AI interactions
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Legal battles over AI copyright and LLM competition intensify
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All the legal battles over AI & copyright could be its own John Grisham novel! Meanwhile, tech giants’ race to build LLMs is also its own game of thrones…
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LLM and CLIP for Robot Grasping Based on Object Affordances
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“Task-Based” or “Semantic” robot grasping — where the grasp criteria are based on how the object will be used —has a long history. Humans grasp objects intuitively based on affordances. We believe this is the first paper that applies LLM + CLIP to infer affordances from words.
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Virtual Panel: LLM Experts Discuss Open Source vs Commercial Models
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Last chance to save your spot: virtual panel w/ #LLM experts from @Llama_Index
, @BankofAmerica and @predibase #Opensource vs. commercial LLMs Top use cases for LLMs Best practices for customization (#finetuning) Productionizing LLMs https://
pbase.ai/46gtNKr -
Fine-tuning Large Language Models: From Generalists to Specialists
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Good morning fellow AI enthusiast! This week's iteration focuses on large language models and how to make them from generalists to specialists, or, in other words: fine-tuning! Learn more in this week's iteration: https://
louisbouchard.substack.com/p/230d32a4-034
f-4d5d-8239-153ee81b7854
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Task-Specific Models vs Next Generation GPT Performance Risk
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So if I'm reading this correctly, leftmost seems justified to finetune your own LM, but middle seems at risk for next GPT to outperform the task-specific model?