Foundations

Understand language models and choose a learning path.

706 resources · page 8 of 23

Jürgen Schmidhuber
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Jürgen Schmidhuber's home page at IDSIA: LSTM co-inventor's papers and history of deep learning.
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Jack Clark (@jackclarkSF)
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Jack Clark's Import AI: weekly newsletter summarising AI research papers.
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@janleike (Jan Leike)
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X account of Jan Leike, Anthropic alignment science lead: posts on alignment research.
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Janus (@repligate)
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Janus's site generative.ink: writing on the simulators framing and qualitative probing of model behaviour.
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Jason Liu (@jxnlco)
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Jason Liu's site: writing on building AI systems, RAG and structured outputs; creator of the Instructor library.
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@_jasonwei (Jason Wei)
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X account of Jason Wei, AI researcher known for chain-of-thought prompting work.
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Jay Alammar (@JayAlammar)
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Jay Alammar's blog: visual explanations of transformers, LLMs and other ML concepts.
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@JayAlammar (Jay Alammar)
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X account of Jay Alammar, Cohere and co-author of Hands-On Large Language Models: visual explanations of ML concepts.
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Jeff Geerling (@geerlingguy)
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Jeff Geerling's site: videos and posts on hardware, including running AI models on small and local systems.
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Context Rot: How Increasing Input Tokens Impacts LLM Performance (Chroma)
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Chroma research report Context Rot: how increasing input length degrades LLM performance.
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Jeremy Howard (@jeremyphoward)
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Jeremy Howard's site: fast.ai co-founder, with links to courses and writing.
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@jeremyphoward (Jeremy Howard)
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X account of Jeremy Howard, co-founder of fast.ai and Answer.AI: posts on deep learning and AI tools.
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@jerryjliu0 (Jerry Liu)
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X account of Jerry Liu, LlamaIndex co-founder and CEO: posts on document parsing, RAG and agents.
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Jesse Vincent (@obra)
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Jesse Vincent's blog, author of the superpowers skills framework for Claude Code.
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Jim Fan (@DrJimFan)
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NVIDIA GEAR lab, co-led by Jim Fan: generalist embodied agent research including the GR00T humanoid models.
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@jobergum (Jo Kristian Bergum)
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X account of Jo Kristian Bergum: posts on retrieval, ColBERT and RAG evaluation.
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Joe Carlsmith (@jkcarlsmith)
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Joe Carlsmith's site: essays on AI risk, alignment and philosophy; works on Claude's constitution at Anthropic.
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JohannesGaessler GitHub profile
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Johannes Gäßler's GitHub profile: contributor to llama.cpp and ggml CUDA performance work.
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John Yang (@jyangballin)
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SWE-agent site (John Yang and co-authors): agent for solving GitHub issues, alongside SWE-bench and SWE-smith.
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Jonas Andrulis / Aleph Alpha
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Aleph Alpha site: German company founded by Jonas Andrulis, building language models for enterprises and public institutions.
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Jonas Geiping (@jonasgeiping)
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Jonas Geiping's academic page: research on recurrent-depth latent reasoning models such as Huginn, ML security and privacy.
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@julien_c (Julien Chaumond)
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X account of Julien Chaumond, Hugging Face co-founder and CTO: posts on the Hub and open models.
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Junyang Lin (@JustinLin610)
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Junyang Lin's page: researcher on language, multimodal and agentic models, formerly Qwen team lead, with papers and code.
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Justine Tunney (@JustineTunney)
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Mozilla llamafile GitHub repo, started by Justine Tunney: distribute and run LLMs as a single executable file.
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@justinkan (Justin Kan)
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X account of Justin Kan, Twitch co-founder: posts on startups and AI video projects.
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@JustinLin610 (Junyang Lin)
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X account of Junyang Lin, former Qwen technical lead: posts on Qwen models and agent research.
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@jxnlco (jason)
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X account of Jason Liu (jxnl), OpenAI and Instructor library creator: posts on structured outputs and RAG.
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@kaifulee (Kai-Fu Lee 李开复)
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X account of Kai-Fu Lee, founder of 01.AI (Yi models): posts on AI in China and globally.
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KAIST AI
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KAIST Graduate School of AI site: programmes, faculty and research of the Korean AI graduate school.
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@rybolos_channel (Telegram)
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Kali Novskaya's Telegram channel: Russian-language posts on neural networks and LLM development from an LLM team lead.
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@karpathy (Andrej Karpathy)
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X account of Andrej Karpathy: posts on LLMs, training and AI education such as nanoGPT and nanochat.
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Kent C. Dodds (@kentcdodds)
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Kent C. Dodds' Epic AI Pro: courses on building AI-powered applications and MCP.
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