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
LLMClient - JS/TS Use prompt signatures, Agents, Reasoning, Function calling, RAG and more. Based on the Stanford DSP Paper
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)
Integrate with the latest language models, image generation, speech, and deep learning frameworks like ChatGPT, DALL·E, and Cohere using few java lines.
Convert the Cohere API to OpenAI compatible API.
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."