nlp

DocsGPT is a cutting-edge open-source solution that streamlines the process of finding information in project documentation. With its integration of the powerful GPT models, developers can easily ask questions about a project and receive accurate answers. Link

For complicated data extraction you need a robust library. The Kor Library (created by Eugene Yurtsev) is an awesome tool just for this. Link

This is part 4 of our blog series on Generative AI. In the previous blog posts we explained why Ray is a sound platform for Generative AI, we showed how it can push the performance limits, and how you can use Ray for stable diffusion. Link

Build your knowledge bases Link

Steamship is the fastest way to build, ship, and use full-lifecycle language AI. Link

Build a question-answering tool based on financial data with LangChain & Deep Lake’s unified & streamable data store. Prototype with LangChain rapidly with no need to recompute embeddings. Train LLMs faster & cheaper with LangChain & Deep Lake. Link

In this tutorial, we are going to use Langchain + Deep Lake with GPT to analyze the code base of the LangChain itself. Link

Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration. Link LangChain

Modal lets you run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without your own infrastructure. Link

FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically. Link

Get a jumpstart on website creation. Build or recreate any website in minutes with the power of AI. Link

Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM “thoughts”, to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI. Link

GradientJ provides everything you need to build Large Language Model applications in minutes and manage them forever Link

In this article I will show you how you can run state-of-the-art large language models on your local computer. Yes, you’ve heard right. Link

The widespread public deployment of large language models (LLMs) in recent months has prompted a wave of new attention and engagement from advocates, policymakers, and scholars from many fields. This attention is a timely response to the many urgent questions that this technology raises, but it can sometimes miss important considerations. This paper surveys the evidence for eight potentially surprising such points Link