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
Ship RAG based LLM web apps in seconds.
🦙 Integrating LLMs into structured NLP pipelines
LLMs and Machine Learning done easily
Python & JS/TS SDK for adding code interpreting to your AI app
Conversational AI tooling & personas built on Cohere's LLMs
Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.
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. 🌵 🦙 🔥 ❤️ 🖖🏼
Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.
OpenAI-compatible Python client that can call any LLM
An API for Chat Fine-Tuned Large Language Models (llm)
A NodeJS RAG framework to easily work with LLMs and embeddings
ChatGPT Prompt Engineering for Developers Crash & Free Course by DeepLearning.AI
One .NET library to consume OpenAI, Anthropic, Cohere, Azure, and self-hosed APIs.
An approach to creating the perfect prompt for any image generation task.
Cohere API client for Ruby
Convert the Cohere API to OpenAI compatible API.
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