Searching protocol for "learning-data"
Initialize or verify the learnings database.
Reset memory to a clean state.
Log learnings to a DB and propose AGENTS updates.
Turn vague requirements into precise task specs.
BM25-powered search for learnings.
Master NumPy for efficient numerical computing.
Capture and apply release experience.
Leverage past wisdom for current work.
End-to-end onboarding for labs, fast.
Accelerate Python code with JIT compilation.
Build, train, and deploy ML models.
Adaptive learning for AI agents.