ByteBrief
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Tool-use for large language models has progressed from supervised fine-tuning on static data to native tool-use training and standardized protocols like MCP, A2A, and Claude Skills. Early models like Toolformer, Gorilla, and ToolLLM taught LLMs to call APIs. By 2025, agentic applications and specialized frameworks dominate.
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