21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Python tool for converting files and office documents to Markdown.

A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。

File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

Simple, unified interface to multiple Generative AI providers

OCR & Document Extraction using vision models

Python interactive dashboards for learning data science

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

LLM101n: Let's build a Storyteller

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

DSPy: The framework for programming—not prompting—language models

NLP to classify a text's lexile level

Server for the Simpler Chrome extension

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

Synthetic data generators for tabular and time-series data

Crawl a site to generate knowledge files to create your own custom GPT from a URL

Course notebooks and all the code for the first LLM course.

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

A tool to notify about validators' missed blocks/jails/etc on multiple Cosmos chains

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

course.fast.ai 2022 part 2

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Monitor the performance of your Ethereum 2.0 staking pool

Aggregates statistics about mev-boost relays and block builders