| title | Reasoning & Agents | |
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Eliciting and structuring reasoning, and tool-using agents: chain-of-thought, tree-of-thoughts, test-time compute, ReAct/Toolformer, and RAG.
166 documents.
- MIT 6.S191 (2018): Beyond Deep Learning: Learning+Reasoning · 🎓 lecture · intro
- MIT 6.S191: The Three Laws of AI · 🎓 lecture · intro
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks · 📄 paper · advanced
- Dense Passage Retrieval for Open-Domain Question Answering · 📄 paper · advanced
- ReAct: Synergizing Reasoning and Acting in Language Models · 📄 paper · advanced
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models · 📄 paper · advanced
TABLE WITHOUT ID
link(file.link, default(title, file.name)) AS Document,
default(source, "") AS Type,
default(published, "") AS Date
FROM #topic/reasoning-agents and -"atlas"
SORT level ASC, published ASC
(The list above renders in Obsidian with the Dataview plugin. On GitHub, browse Start here or the full index.)
Language Models & Pretraining · Alignment, RLHF & Preference Tuning · ML Engineering & Tooling