Reasoning in Large Language Models: Chain-of-Thought, Tree-of-Thought, and What's Next
Chain-of-thought prompting changed how LLMs reason. This deep-dive covers CoT, ToT, GoT, OpenAI o1/o3, process reward models, and what's next for LLM reasoning.
Topic
Everything tagged “chain of thought” across News, Learn, Research and Interviews.
Chain-of-thought prompting changed how LLMs reason. This deep-dive covers CoT, ToT, GoT, OpenAI o1/o3, process reward models, and what's next for LLM reasoning.
After 18 months of academic and industry research, here's what we now know about chain-of-thought prompting — where it delivers, where it doesn't, and how to use it in 2026.
Chain-of-thought prompting breaks on frontier LLMs in 2026. Learn the 5 evidence-backed fixes that actually work — from structural CoT to reasoning budget parameters.

Master 7 prompt engineering patterns with copy-paste examples. Compare few-shot, chain-of-thought, and more for production AI.
For years, the AI industry operated on a simple premise: more training compute yields smarter models. Scale parameters, scale data, scale energy — and accuracy climbs.
Standard large language models generate their outputs in a single forward pass. Ask GPT-4o to solve a complex multi-step math problem and it either solves it or fails — it cannot reconsider its approa...