How to Fine Tune Agents
0In this video, we reveal how to optimize LLMs for tool use without wrecking latency:
Build fine-tuning datasets mirroring tools like AgentFlan—convert internal APIs (e.g., Torch uploads) into synthetic prompts/responses.
Use AST matching to verify tool calls (is this code snippet valid for your library?) and block hallucinated functions.
Master confidence-based routing: Should the LLM answer “5+3” itself or call a calculator?
Learn how to make your agent smarter, not slower!
#AIAgents #LLMOptimization #FineTuning #AITools #MachineLearning #AILatency #AIEngineering #GuardrailsAI #PromptEngineering
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https://www.linkedin.com/in/amirfzpr/
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/ @ai-science
https://lu.ma/aisc-llm-school
https://maven.com/aggregate-intellect/
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