Unverified60% confidenceFactExact time
The tutorial content starts from API calls and goes deep into model fine-tuning, model deployment, and model security defense, and extends to Agent development.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
9/12/2026
First Seen
Valid until: 12/11/2026
Sources
Related Entities
Related Claims
UnverifiedThe technical foundation of Agent mode is the maturation of tool-calling capabilities and the significant expansion of AI model context windows.78% similarUnverified在大模型应用开发领域，Agent（智能体）是最核心的落地形态78% similarUnverifiedAn Agent's Action capability relies on standardized interfaces such as Function Calling or Tool Use to convert the model's text output into executable API calls.77% similarVerifiedAn Agent is an application-layer architecture built on top of an LLM that enables the model to decompose complex tasks, invoke external tools, maintain context state, and iteratively optimize results by introducing mechanisms such as Planning, Memory, Tool Use, and Reflection.76% similarVerifiedCurrent mainstream Agent development frameworks include LangChain, AutoGPT, CrewAI, and others, providing standardized toolchains that allow developers to build intelligent agent applications without deeply understanding the underlying model principles.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/911199API
curl https://kongchang.com/api/v1/knowledge/claims/911199MCP
get_claim(id=911199)