Practice Guides Best Worst
22 resources · page 1 of 1
12-Factor Agents (humanlayer)
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12-Factor Agents GitHub repo (HumanLayer): principles for building reliable LLM-powered software.
a16z AI
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Andreessen Horowitz AI page collecting the firm's essays, market maps and podcasts on AI infrastructure and applications.
Ahead of AI
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Sebastian Raschka's Ahead of AI newsletter on LLM research, architectures and training.
Answer.AI
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Answer.AI: R&D lab building practical AI products and open-source tools from research.
宝玉 baoyu.io
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Baoyu's Chinese blog on LLMs, prompt engineering and software engineering.
Chip Huyen blog
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Chip Huyen's blog: posts on AI engineering, agents and ML system design.
Сиолошная (Telegram web preview)
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Web view of the Сиолошная Telegram channel by Igor Kotenkov: Russian-language news and analysis on NLP and AI.
Every: Chain of Thought
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Every's Chain of Thought column on AI tools and their use.
Lenny's Newsletter (AI product)
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Lenny's Newsletter: product, growth and career writing for product managers and founders, including AI product topics.
levelsio blog
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Pieter Levels' blog on bootstrapping solo internet businesses, including AI products.
Mitchell Hashimoto writing
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Mitchell Hashimoto's writing index, including posts on AI-assisted programming practice.
Peter Steinberger blog
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Peter Steinberger's blog on building AI-powered developer tools, creator of OpenClaw.
Sebastian Raschka
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Sebastian Raschka's blog archive: posts on LLMs, AI research and PyTorch.
AI in 2025: Building Blocks Firmly in Place (Sequoia Capital)
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Sequoia Capital essay on the state of AI in 2025, covering foundation models, applications and market structure.
AIAAIC Repository
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AIAAIC Repository: independent register of AI incidents and controversies with case entries.
CS自学指南 csdiy.wiki
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CS自学指南 (csdiy.wiki): Chinese self-study map of computer science courses, including ML systems and LLM courses.
Illustrated Transformer (Alammar)
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Jay Alammar's Illustrated Transformer: visual explanation of attention and the transformer architecture.
LLM Visualization (bbycroft)
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LLM Visualization by Brendan Bycroft: interactive 3D walkthrough of GPT-style inference step by step.
Transformer Explainer (Georgia Tech)
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Georgia Tech Transformer Explainer: interactive in-browser visualisation of how a GPT-2 transformer works.
Habr ML hub
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Habr machine learning hub: Russian-language articles on ML from practitioners and companies.
Why Do Multi-Agent LLM Systems Fail?
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arXiv paper (2025) analysing why multi-agent LLM systems fail, with a taxonomy of 14 failure modes.
Convex Optimization
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Boyd and Vandenberghe's Convex Optimization book site with free PDF, slides and exercises.