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Awesome-LLM: a curated list of Large Language Model
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
Language Savant. If your repository's language is being reported incorrectly, send us a pull request!
📃 A better UX for chat, writing content, and coding with LLMs.
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
The Open Cookbook for Top-Tier Code Large Language Model
Reverse Engineering: Decompiling Binary Code with Large Language Models
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
[EMNLP 2024] CodeJudge: Evaluating Code Generation with Large Language Models
👨💻 An awesome and curated list of best code-LLM for research.
A collection of prompts, system prompts and LLM instructions
A library for training and deploying machine learning models on Amazon SageMaker
Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering (NAACL short, 2024)
SGLang is a fast serving framework for large language models and vision language models.
This repository provides hands-on labs on PyTorch-based Distributed Training and SageMaker Distributed Training. It is written to make it easy for beginners to get started, and guides you through s…
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
NaturalCC: An Open-Source Toolkit for Code Intelligence
Large Language Model Text Generation Inference
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
A high-throughput and memory-efficient inference and serving engine for LLMs
Type less, code more: Cody is an AI code assistant that uses advanced search and codebase context to help you write and fix code.
Accessible large language models via k-bit quantization for PyTorch.