The weights and architecture of Mixture-of-Experts model, Grok-1 (By xAI)
It is a low code platform to rapidly annotate data, train and then deploy custom Natural Language Processing (NLP) models. It takes care of model training, data selection and deployment for you. You upload your data and we provide an annotation interface for you to teach a classifier. As you label we train a model, work out what data is most valuable and then deploy the model for you. | It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. |
10x fewer labels needed;
Add your own heuristics and rules to speed up labelling;
Powerful search to focus your labelling efforts;
Powerful pretrained models from the forefront of NLP research | Fully-typed, fully-tested, fully-documented;
Dev, Test, Prod: the same API that runs in your Python notebook, scales to your cluster;
Feature-rich;
Free & open source |
Statistics | |
GitHub Stars - | GitHub Stars 24.2K |
GitHub Forks - | GitHub Forks 1.9K |
Stacks 2 | Stacks 41 |
Followers 4 | Followers 15 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |

Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

It allows you to run open-source large language models, such as Llama 2, locally.

It is a generative user interface system by Vercel powered by AI. It generates copy-and-paste friendly React code based on shadcn/ui and Tailwind CSS that people can use in their projects.

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.

It is an AI-enabled editor that helps developers write technical design docs faster. It’s like an IDE with Copilot, but instead of directly editing your code, it helps you come up with a solid plan before implementing a change.

It is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a natural language programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use.

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It is a trained model which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.

It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.

Build, train, and deploy state of the art models powered by the reference open source in machine learning.