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Harvey AI
- San Francisco, CA
- www.adhamelarabawy.com
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Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence
pyright fork with various type checking improvements, improved vscode support and pylance features built into the language server
Verifiable and Token-Efficient Text Extraction Using LLMs and Vim.
LangSmith Client SDK Implementations
🔬 A fast, interactive web-based viewer for performance profiles.
Library for fast text representation and classification.
A fast, clean, responsive Hugo theme.
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
Explorations into some recent techniques surrounding speculative decoding
A lightweight library for converting complex objects to and from simple Python datatypes.
Rapid fuzzy string matching in Python using various string metrics
An open-source 3D-printed direct-drive bionic hand.
A library for efficient similarity search and clustering of dense vectors.
A playbook for systematically maximizing the performance of deep learning models.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Code for the paper "What's the Magic Word? A Control Theory of LLM Prompting"
Seamless operability between C++11 and Python
A toolkit for reproducible reinforcement learning research.
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
An educational resource to help anyone learn deep reinforcement learning.