Q: How put 1000 PDFs into my LLM?

A subscriber asks: HOW to put 1000s of PDFs into a Large Language Model (LLM) and perform Q&A? How to integrate huge amount of corporate and private data into an open source LLM?

#aieducation
#chatgpt

Comments

Post a Comment

Popular posts from this blog

Building AI Ready Codebase Indexing With CocoIndex

Image
Building AI-Ready Codebase Indexing with CocoIndex and Tree-sitter In today's AI-driven development landscape, the ability to efficiently index and search through codebases has become increasingly crucial. Whether you're building code search tools, documentation generators, or AI-powered development assistants, having a robust codebase indexing system is essential. In this tutorial, we'll explore how to build a complete codebase indexing solution using CocoIndex and Tree-sitter in just about 50 lines of Python code.   What is CocoIndex? CocoIndex is a powerful indexing framework that leverages Tree-sitter's parsing capabilities to intelligently chunk codebases based on actual syntax structure rather than arbitrary line breaks. This approach ensures that your code chunks are semantically meaningful, leading to better search results and more accurate AI responses.   Key Features of CocoIndex: - **Syntax-aware chunking** using Tree-sitter - **Incremental proces...
Read more

Code Rabbit VS Code Extension: Real-Time Code Review

Image
CodeRabbit VS Code Extension: Real-Time Code Review During Development CodeRabbit has just released an exciting new VS Code extension that brings AI-powered code review directly into your development workflow. Previously known for reviewing pull requests through their GitHub app, CodeRabbit now offers real-time code analysis as you develop. What is CodeRabbit's VS Code Extension? The CodeRabbit VS Code extension performs automated code reviews during development itself, rather than waiting until you create a pull request. This means you can catch potential issues, security vulnerabilities, and best practice violations early in your coding process.   Getting Started   Installation 1. Open VS Code and go to the Extensions marketplace 2. Search for "CodeRabbit" 3. Install the extension 4. You'll see the CodeRabbit icon in your sidebar Setup When you first install the extension, you'll need to: - Sign in using your GitHub account - The extension will displ...
Read more