Quick Notes
miscellaneous concepts that might be helpful in the future :)
Journey learning:
Includes incorrect solution paths, allowing the model to learn from mistakes.
Automated Design of Agentic Systems
Automatical design new agents using a Meta Agent (Foundation Model) to search in the code space (program) and evaluate the result
Similar discussion seen here: System Prompt Design
"The history of machine learning teaches us that hand-designed solutions are eventually replaced by learned solutions."
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