On the Biology of a Large Language Model (Part 1)
An in-depth look at Anthropic's Transformer Circuit Blog Posthttps://transformer-circuits.pub/2025/attribution-graphs/biology.htmlAbstract:We investigate the...
Yannic Kilcher Blog
neural networks
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[GRPO Explained] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
#deepseek #llm #grpoGRPO is one of the core advancements used in Deepseek-R1, but was introduced already last year in this paper that uses a combination of n...
Yannic Kilcher BlogTraditional Holiday Live Stream
https://ykilcher.com/discordLinks:TabNine Code Completion (Referral): http://bit.ly/tabnine-yannickYouTube: https://www.youtube.com/c/yannickilcherTwitter: h...
Yannic Kilcher BlogAutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data's patterns (prior probability), collecting evidence (e.g., new time series data), and continuously updating that…
Google Research (Legacy)9 min read
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