Discover how to leverage Large Language Models (LLMs) within BigQuery ML to create an intelligent search query clustering solution. This step-by-step guide explores an alternative to traditional K-means clustering, offering greater configurability through customizable LLM prompts. While this approach provides flexibility in handling text-based clustering, we'll examine both its advantages and limitations—from prompt customization benefits to processing speed considerations. Perfect for data engineers and analysts looking to experiment with LLM-powered clustering in their BigQuery workflows.

Following up on the list of 2023’s, Q1 2024’s, Q2 2024’s, Q3 2024’s most exciting projects, here is the list of the most useful, innovative and exciting LLM-powered projects I found in 2024 Q4. Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper 🕷️ Crawl4AI (11K stars) is a powerful, open-source Python asynchronous web crawling and data extraction library designed for large language models (LLMs) and AI applications. It offers blazing-fast performance, outperforming many paid services, while providing LLM-friendly output formats like JSON, cleaned HTML, and markdown. Key features include: Crawl4AI excels in complex scenarios like session management and dynamic content...