Automatic Generation of Visualizations and Infographics using Large Language Models
-
Updated
Aug 8, 2024 - Jupyter Notebook
Automatic Generation of Visualizations and Infographics using Large Language Models
Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app
The pretty much "official" DSPy framework for Typescript
Create chatbots with ease
🦙 Integrating LLMs into structured NLP pipelines
Ship RAG based LLM web apps in seconds.
A NodeJS RAG framework to easily work with LLMs and embeddings
Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.
LLMs and Machine Learning done easily
OpenAI-compatible Python client that can call any LLM
A Reactive CLI that generates commit messages for Git and Jujutsu with Ollama, ChatGPT, Gemini, Claude, Mistral and other AI
Drop in replacement for the OpenAI Assistants API
Conversational AI tooling & personas built on Cohere's LLMs
Generate interactive flashcards from your notes using models from OpenAI (ChatGPT), Google (Gemini), Ollama (local LLMs), and more. Or manually create your own to use with the quiz UI.
Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.
A simple NPM interface for seamlessly interacting with 36 Large Language Model (LLM) providers, including OpenAI, Anthropic, Google Gemini, Cohere, Hugging Face Inference, NVIDIA AI, Mistral AI, AI21 Studio, LLaMA.CPP, and Ollama, and hundreds of models.
Add a description, image, and links to the cohere topic page so that developers can more easily learn about it.
To associate your repository with the cohere topic, visit your repo's landing page and select "manage topics."