Automatic Generation of Visualizations and Infographics using Large Language Models
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Updated
Apr 21, 2024 - Jupyter Notebook
Automatic Generation of Visualizations and Infographics using Large Language Models
Create chatbots with ease
🦙 Integrating LLMs into structured NLP pipelines
Ship RAG based LLM web apps in seconds.
Python & JS/TS SDK for adding code interpreting to your AI app
JS/TS library to make to easy to build with LLMs. Full support for various LLMs and VectorDBs, Agents, Function Calling, Chain-of-Thought, RAG, Semantic Router and more. Based on the popular Stanford DSP paper. Create and compose efficient prompts using prompt signatures. 🌵 🦙 🔥 ❤️ 🖖🏼
LLMs and Machine Learning done easily
Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.
OpenAI-compatible Python client that can call any LLM
Conversational AI tooling & personas built on Cohere's LLMs
Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.
A NodeJS RAG framework to easily work with LLMs and embeddings
An API for Chat Fine-Tuned Large Language Models (llm)
AskIt: Unified programming interface for programming with LLMs (GPT-3.5, GPT-4, Gemini, Claude, Cohere, Llama 2)
Convert the Cohere API to OpenAI compatible API.
Integrate with the latest language models, image generation, speech, and deep learning frameworks like ChatGPT, DALL·E, and Cohere using few java lines.
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."