How to use golden workflow data to train AI Agent? (1) Fine-tuning Use high-quality wor...

How to use golden workflow data to train AI Agent?

Fine-tuning Use high-quality workload data for supervised fine-tuning or reinforcement learning based on human feedback. While this approach works well for large datasets and generalization, it can be costly to retrain when the model is updated or the data changes, and it is less flexible in terms of personalization.

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flowchart LR
  format-thread["thread digest"]
  topic-agents["agents"]
  capability-agent-workflow["agent workflow"]
  capability-evaluation["evaluation"]
  format-thread -->|covers| topic-agents
  format-thread -->|signals| capability-agent-workflow
  format-thread -->|signals| capability-evaluation

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  thesis["How to use golden workflow data to train AI Agent? (1) Fine-tuning Use high-quality workload data for super..."]
  signal["How to use golden workflow data to train AI Agent?"]
  operator["(1) Fine-tuning Use high-quality workload data for supervised fine-tuning or reinforcement learning based o..."]
  implication["(1) Fine-tuning Use high-quality workload data for supervised fine-tuning or reinforcement learning based o..."]
  thesis -->|frames| signal
  signal -->|develops| operator
  operator -->|lands in| implication

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