Function calling lets LLMs emit structured tool invocations with validated arguments to safely call APIs and code, enabling…
ReAct prompting interleaves reasoning with tool actions and observations (Thought → Action → Observation), letting LLM agents plan,…
Agentic AI enables LLMs to plan, use tools, and act in closed-loop cycles with memory and safety controls,…
Structured output constrains LLMs to emit schema‑valid JSON or similar formats, boosting reliability, safety, and integration by replacing…
Toolformer teaches LMs to autonomously invoke external tools during generation by training on interleaved tool-call traces, boosting factuality…
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Function calling lets LLMs emit structured tool invocations with validated arguments to safely call APIs and code, enabling…
ReAct prompting interleaves reasoning with tool actions and observations (Thought → Action → Observation), letting LLM agents plan,…
Agentic AI enables LLMs to plan, use tools, and act in closed-loop cycles with memory and safety controls,…
Structured output constrains LLMs to emit schema‑valid JSON or similar formats, boosting reliability, safety, and integration by replacing…
Toolformer teaches LMs to autonomously invoke external tools during generation by training on interleaved tool-call traces, boosting factuality…