Struggling with your short game? In this video, a seasoned golf coach demonstrates the most common golf short game errors—chunking and skulling (or topping) the ball—during a lesson inside a modern ...

Content chunking is a technique for breaking down information into smaller, focused sections that make content more scannable, comprehensible, and actionable for both human readers and AI systems. And ...

When you need to hit a pitch shot that launches high and stops quickly, it's essential to learn how to use the bottom of your club - the bounce - properly. If your wedge digs into the turf, you may ...

8 great Python libraries for natural language processing With so many NLP resources in Python, how to choose? Discover the best Python libraries for analyzing text and how to use them. By Serdar ...

Most vector search systems struggle with a basic problem: how to break complex documents into searchable pieces. The typical approach is to split text into fixed size chunks of 200 to 500 tokens, this ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

When you’re working with AI and natural language processing, you’ll quickly encounter two fundamental concepts that often get confused: tokenization and chunking. While both involve breaking down text ...

Picture this: You’ve just crushed your drive right down the middle of the fairway. You’ve got a wedge or a short iron in your hands, and the pin is easily accessible right in the middle of the green.

The latest annual Python Developers Survey, born from a collaboration between the Python Software Foundation and JetBrains, took the pulse of over 30,000 developers to see what makes the community ...

Cutting-edge semantic text processing system that uses hierarchical clustering and advanced language models to automatically organize and summarize large volumes of text.