🦜🔗 Build context-aware reasoning applications

A programming framework for agentic AI 🤖

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

Synthetic data generators for tabular and time-series data

Peter Demin

Factual evaluation for Llama-2 summarization