grhaonan
Follow
Stars
Python tool for converting files and office documents to Markdown.
An Engine-Agnostic Deep Learning Framework in Java
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Accessible large language models via k-bit quantization for PyTorch.
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Guidance for Organization on AWS
DSPy: The framework for programming—not prompting—language models
A toolkit for describing model features and intervening on those features to steer behavior.
Building Open-Ended Embodied Agents with Internet-Scale Knowledge
AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/pAbnFJrkgZ
Code to accompany "A Method for Animating Children's Drawings of the Human Figure"
[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
An open-source RAG-based tool for chatting with your documents.
Adding guardrails to large language models.
Let your Claude able to think
Tools to make effective use of DynamoDB easier.
AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Fu…
A developer toolkit to implement Serverless best practices and increase developer velocity.
A Python framework for multi-modal document understanding with Amazon Bedrock
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
This is a workshop designed for Amazon Bedrock a foundational model service.