I know I can simply ask myaAgent or Google this question but would prefer to ask HN for any practical real examples used day to day.
Question: For the people who build agentic workflows, how do I implement a ML habit where the agent learns from itself, can iterate and improve on it's own? I would still oversee and validate but would love to learn ML implementation to agents. Am I just overthinking this and can write it in the prompt? Any help is appreicated!
Question: For the people who build agentic workflows, how do I implement a ML habit where the agent learns from itself, can iterate and improve on it's own? I would still oversee and validate but would love to learn ML implementation to agents. Am I just overthinking this and can write it in the prompt? Any help is appreicated!
This related link was posted yesterday: https://news.ycombinator.com/item?id=49699648
Depends on the specific problem. If inputs change predictably over time then ML can help. But for lot of problems that doesn't happen.