ReAct (prompting)
ReAct (short for Reasoning and Acting) is a prompting paradigm for large language models that interleaves verbal reasoning traces ("Thoughts") with task-specific actions executed against an external…
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ReAct (short for Reasoning and Acting) is a prompting paradigm for large language models that interleaves verbal reasoning traces ("Thoughts") with task-specific actions executed against an external…
Reflexion is a 2023 framework for reinforcing language agents through verbal self-reflection rather than weight updates: the agent reflects in natural language on feedback from failed attempts, stores those…
Self-consistency is a decoding strategy for large language models that samples multiple chain-of-thought reasoning paths for the same question and returns the answer that the majority of those paths agree on
SimpleBench is a text-only benchmark for large language models created by Philip, the host of the AI Explained YouTube channel, with collaborator Hemang.
Skywork-R1V is an open-weight family of multimodal reasoning models released by Skywork AI, the AGI and AIGC division of Beijing Kunlun Tech Co., Ltd. (Kunlun Wanwei).
Strawberry was the internal codename used at OpenAI for the research program that produced the o-series of reasoning models, most notably OpenAI o1.
Test-time compute (also called inference-time compute scaling or test-time scaling) is the practice of allocating additional computation while a large language model answers a query
Tree of Thoughts (ToT) is a prompting and inference-time search framework for large language models that lets the model explore multiple intermediate reasoning steps as nodes in a tree, evaluate each…
ZAYA1-8B is an open-weight, reasoning-focused Mixture-of-Experts (MoE) large language model released by San Francisco-based AI research lab Zyphra on May 6, 2026.
OpenAI o4-mini is a compact reasoning model developed by OpenAI, released on April 16, 2025.