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[ACL 2024] Prompt Optimization via Adversarial In-Context Learning
A framework for prompt tuning using Intent-based Prompt Calibration
Training Large Language Model to Reason in a Continuous Latent Space
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Phaser is a fun, free and fast 2D game framework for making HTML5 games for desktop and mobile web browsers, supporting Canvas and WebGL rendering.
A Collection on Large Language Models for Optimization
Tech companies in Japan that hire remote workers.
Our solution of the Kaggle Abstraction and Reasoning Challenge
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
official code for "Large Language Models as Optimizers"
[ICML 2024] LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
Python toolkit for quantitative finance
Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024
A modular graph-based Retrieval-Augmented Generation (RAG) system
GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning
Multiplayer online games published by Hichain Project.
データサイエンス100本ノック（構造化データ加工編）
A fast inference library for running LLMs locally on modern consumer-class GPUs
A high-performance Python port of libtcod. Includes the libtcodpy module for backwards compatibility with older projects.
Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
Repository containing common 3D test models in original format with original source if known and obj mesh
Minecraft server optimization guide
A header-only C++ library for large scale eigenvalue problems
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
A high-throughput and memory-efficient inference and serving engine for LLMs