A cloud-native vector database, storage for next generation AI applications
-
Updated
Apr 13, 2023 - Go
A cloud-native vector database, storage for next generation AI applications
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Data Lake for Deep Learning. Multi-modal Vector Database for LLMs/LangChain. Store, query, version, & visualize datasets. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Integrate cutting-edge LLM technology quickly and easily into your apps
中文LLaMA&Alpaca大语言模型+本地CPU/GPU部署 (Chinese LLaMA & Alpaca LLMs)
Your own virtual developer. e2b uses AI agents to build software for you based on your instructions. Developers describe what they want to build by writing documentation. Then let AI agents with access to tools do the coding work.
CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
Training and serving large-scale neural networks
Integrate Human Supervision into your Platform. For all Training Data Types, Image, Video, 3D, Text, Geo, Audio, Compound, Grid, LLM, GPT, Conversational, and more.
langchain-ChatGLM, local knowledge based ChatGLM with langchain | 基于本地知识的 ChatGLM 问答
Easily build, customize and control your own private LLMs
Simple UI for LLM Model Finetuning
Add a description, image, and links to the llm topic page so that developers can more easily learn about it.
To associate your repository with the llm topic, visit your repo's landing page and select "manage topics."