Using LLMs and rules for a local personal agent
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Updated
Jan 17, 2025 - Python
Using LLMs and rules for a local personal agent
A Python-based benchmarking tool for comparing different Ollama models' performance in development tasks. This tool helps developers evaluate and choose the most efficient model for their coding assistance needs.
Simple large language model playground app
PyScribe is a command-line tool to transcribe audio files. It uses `ffmpeg` for audio conversion and `pywhisper` for transcription.
Build and compare performance of essay evaluator in DSPy
Master's thesis - Automatically Finding Non-constant Lower Bounds for Locally Checkable Labeling Problems in the LOCAL Model
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