[Preprint] Large Language Model-based Stock Trading in Simulated Real-world Environments

Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"

A powerful Python framework for orchestrating AI agents and managing complex LLM-driven tasks with ease.

code for Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models

A benchmark for evaluating the efficiency of LLM-generated code

This repository contains popular code generation frameworks such as MapCoder, CodeSIM.

Clue inspired puzzles for testing LLM deduction abilities

OpenPipe Reinforcement Learning Experiments

PyTorch native post-training library

Turn expensive prompts into cheap fine-tuned models

Train your own SOTA deductive reasoning model

Deep Q-learning driven stock trader bot

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

A trading agent AI is an artificial intelligence system that uses computational intelligence methods such as machine learning and deep reinforcement learning to automatically discover, implement, a…

AI agent for building React Native apps

an enterprise grade chatbot

This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).

Home of CodeT5: Open Code LLMs for Code Understanding and Generation

tmux source code

A library for drawing space-filling curves like the Hilbert Curve.

🎨 Refly is an open-source AI-native creation engine. Its intuitive free-form canvas interface combines multi-threaded dialogues, AI knowledge base integration, chrome extension clip & save, context…

An introduction to LLM Sampling