Learn more about Replit's own, opensource LLM that @pirroh and @amasad are discussing https://
blog.replit.com/llm-training
RESEARCH
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Replit Releases Open-Source LLM with New Training Approach
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Unleashing LLMs in Production: Challenges and Opportunities
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Unleashing LLMs in Production: Challenges and Opportunities with Chip Huyen https://
x.com/i/broadcasts/1
ZkKzXAWNpLJv
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Transformer Circuits Research Update and External Contributions
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In addition to our work, we highlight recent work by a number of researchers at other groups which we believe will be of interest if you find our papers interesting. https://
transformer-circuits.pub/2023/may-updat
e/index.html#external-research
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Mechanistic Interpretability Research Directions and Future Goals
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Finally, we’ve published a separate high-level note on where we’re hoping mechanistic interpretability research can go. We think it’s good to occasionally step back from our research and reflect on what we're aiming for. https://
transformer-circuits.pub/2023/interpret
ability-dreams/index.html
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Transformer Circuits Updates: Dictionary Learning and Model Features
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These updates include discussions of attacking superposition with dictionary learning; Defining model features as the simplest factorization; An interesting “two circle” phenomenon in memorization, and several more results from our team. https://
transformer-circuits.pub/2023/may-updat
e/index.html
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Transformer Circuits Research Updates and Community Comments
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We also list new comments and any corrections on our old papers. We periodically add comments (both from ourselves and others) on previous papers, but they can easily be missed since they're just added to the bottom of existing papers. https://
transformer-circuits.pub/2023/may-updat
e/index.html#new-comments
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Interpretability Team Launches Informal Research Updates Series
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Our Interpretability team is experimenting with “Updates” – small, informal research notes in between our major papers.
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Stanford HAI Spring Symposium on Creativity in AI and Arts
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Starting now: @StanfordHAI Spring Symposium | Creativity in the Age of AI: AI Impacting Arts, Arts … https://
youtube.com/live/ssb7TX5tp
mY?feature=share
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How to Confuse Your Machine Learning Model
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How to confuse your machine learning model. (credit: @teenybiscuit
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Vid2Player3D: AI System Learning Tennis Skills from Video
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Vid2Player3D https://
bit.ly/3Orjmhd A system that learns diverse, physically simulated tennis skills from large-scale demonstrations of tennis play harvested from broadcast videos. #AI #MachineLearning #DeepLearning #LLMs #DataScience