Foundations
Understand language models and choose a learning path.
- Llm Fundamentals (139)
- Courses And Learning Paths (179)
- From Scratch Implementations (1)
- Practitioner Overviews (387)
706 resources · page 4 of 23
Clémentine Fourrier (@clefourrier)
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Hugging Face evaluation guidebook GitHub repo by Clémentine Fourrier: practical and theoretical guidance on LLM evaluation.
@claudeai (Claude)
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X account of Claude: Anthropic product updates and features for the Claude assistant.
CMU 10-423 GenAI
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CMU 10-423/623/723 Generative AI course page (Spring 2026) with lectures and assignments.
CMU Advanced NLP (Neubig)
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Graham Neubig's CMU Advanced NLP course page (Fall 2024) with lectures and materials.
Concordia AI 安远AI (Brian Tse, CEO)
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Concordia AI: Beijing and Singapore AI safety organisation publishing State of AI Safety in China reports.
Connor Leahy (@NPCollapse)
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The Compendium, co-authored by Connor Leahy: explanation of AI extinction risks and proposed responses.
Convolutional Neural Operator
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ETH CAMLab Convolutional Neural Operator GitHub repo: official implementation for learning PDE solution operators.
@cursor_ai (Cursor)
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X account of Cursor: product updates for the Cursor AI code editor and agents.
d2l-zh
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d2l-zh GitHub repo: Chinese edition of Dive into Deep Learning with runnable code.
@hillbig (Daisuke Okanohara 岡野原大輔)
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X account of Daisuke Okanohara, Preferred Networks co-founder: Japanese summaries of AI papers.
IST-DASLab GitHub organization
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IST Austria DAS Lab GitHub organisation (Dan Alistarh): code for GPTQ, SparseGPT, Marlin and AQLM quantization.
Daniel Bourke (@mrdbourke)
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Daniel Bourke's Learn PyTorch for Deep Learning: free hands-on online book and course.
Daniel Han (@danielhanchen)
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Unsloth site, co-founded by Daniel Han: open-source tools for fast fine-tuning and running models locally.
Daniel Kokotajlo (@DKokotajlo)
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AI 2027: scenario forecast of superhuman AI development by Daniel Kokotajlo and co-authors.
@danshipper (Dan Shipper)
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X account of Dan Shipper, Every CEO: posts on using AI tools in work and writing.
Data Hackers
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Data Hackers site: a large Brazilian data science and AI community with a Slack group and podcast.
Data Science by ODS.ai
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Data Science by ODS.ai: Telegram channel of the Open Data Science community, posting ML papers and news.
Data Secrets
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Data Secrets Telegram channel: Russian-language digest of machine learning news.
Datawhale GitHub org
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Datawhale GitHub organisation: Chinese open AI education projects such as hello-agents, happy-llm and self-llm.
David Bau (@davidbau)
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National Deep Inference Fabric (NDIF), led by David Bau: NSF infrastructure and nnsight for interpretability on large models.
Dax Raad (@thdxr)
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OpenCode: open-source terminal AI coding agent, from Dax Raad and team.
Daya Guo (DeepSeek)
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DeepSeek-R1 paper (2025), led by Daya Guo, on incentivising reasoning in LLMs with reinforcement learning.
Dean W. Ball (@deanwball)
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Dean W. Ball's Hyperdimensional newsletter on emerging technology and AI governance.
Deep Learning Indaba 2026
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Deep Learning Indaba 2026 site, the annual African machine-learning gathering held in Lagos.
Deep-learning laminar-flow surrogates
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TUM dl-surrogates GitHub repo: deep learning surrogates for laminar flow and minimum drag shapes.
DeepSeek-R1
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DeepSeek-R1 GitHub repo: model summary, evaluation and usage for DeepSeek-R1 and R1-Zero reasoning models.
Denis Sexy IT (@denissexy)
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Denis Sexy IT Telegram channel by Denis Shiryaev: Russian-language personal blog on technology and AI.
@denny_zhou (Denny Zhou)
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X account of Denny Zhou, founder of the Google Brain reasoning team: posts on LLM reasoning research.
@dexhorthy (dex)
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X account of Dex Horthy, HumanLayer: posts on context engineering and building reliable agents.
DG Translation: translation at the European Commission
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European Commission DG Translation page on how it translates into all EU official languages.
DGL
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Deep Graph Library (DGL): framework for deep learning on graphs, with docs and examples.
DiffEqFlux.jl
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SciML DiffEqFlux.jl GitHub repo: neural differential equation layers in Julia.