Haven’t seen much specific beyond the bar exam stuff in the news but I would assume models (or at least retrieval augmentations) for law are coming
LLMS
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Exploring the Fundamental Limits and Patching Mechanisms of LLMs
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I feel like we need a unified theory of what LLMs can’t do. Most issues (calculation, string ops, grounding) can be patched (via tools, retrieval) so we see them as trivial, not as omens of subtler but similarly fundamental limits. But why is this true?
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LLM Autocomplete Usage in Code Editors Survey
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Are you using an LLM for autocomplete in your coding? If yes, please mention which editor and LLM in the comments!
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Google releases refreshed MC4 corpus and upgraded mT5 checkpoints
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New MC4 refreshed corpus and upgraded mT5 checkpoints from @GoogleAI
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Fine-tuned Smaller Models Outperform Larger Foundation Models
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Our research shows that smaller foundation models that are fine-tuned on domain-specific datasets can outperform larger foundation models. We show that a GPT-NeoX 1.4B model that is fine-tuned for 2,000 training steps can perform just as well as the out-of-the-box GPT-J 6B model.
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Future Business Cards: Personal AI Models for Professional Interactions
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One day your business card will just be a full fine-tuned model of you + GPT that people can ask business questions to the fly.
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Replit Trains Own LLMs With Databricks Hugging Face Partnership
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At Replit, we're training our own LLMs. We’ve partnered with @databricks
, @huggingface
, and @MosaicML to build a full LLM stack. Curious about how? Check out this post by @truerezashabani
, our Head of AI. https://
blog.replit.com/llm-training -

ChatGPT Lead Engineer Discusses Reinforcement Learning from Human Feedback
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Today at 5:10pm PST: Talk by #ChatGPT lead engineer and @UCBerkeley alum John Schulman: Reinforcement Learning from Human Feedback: Progress and Challenges. Berkeley AI Research Lab @berkeley_ai @Berkeley_EECS Livestreamed: https://
youtube.com/c/UCBerkeleyEE
CSEvents/live
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AI Functions Public Preview: LLMs Meet SQL Interface
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We’re excited to announce the public preview of #AI Functions! Now, you can quickly experiment with LLMs on your company’s data from within a familiar SQL interface – simplifying development & productionization workflows for LLMs. See how
