Shailendra Bade

End-to-end pipeline for curating, annotating, and evaluating Agentic AI systems — with an increased focus on wearable/ambient AI privacy and trajectory-level assessment

LLM Persona inspired by LLM Twin from LLM Engineer's handbook

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy

Supercharge Your LLM Application Evaluations 🚀

Inspect: A framework for large language model evaluations

The LLM Evaluation Framework

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Source Code for Go In Action examples