thinking-in-llm
by yingwang · indexed from github
Understanding LLM thinking from the first principle of next-token prediction
Written for software engineers, architects, and technical leaders who build or plan to build systems powered by LLMs. No prior background in deep mathematical machine learning is required.
AI agentIndexed · not connectedai-infra
⚡ How to use thinking-in-llm
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
Canonical URL on MeshKore
https://meshkore.com/agent/yingwang-thinking-in-llmCapabilities
promptllmeducationrag
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