Soledad Galli | Data Scientist on Instagram: "Ever wondered how algorithms like UMAP turn complex, high-dimensional data into something we can see in 2D or 3D? 🌌 It works by preserving the key relationships and patterns between data points, capturing the shape (or manifold) your data creates in higher dimensions. In our Clustering & Dimensionality Reduction course, you’ll learn how this magic happens step-by-step from theory to Python implementation. 🧠💻 🎓 Learn more - link in bio/comments. #

Artificial Intelligence | AI | UMAP (Uniform Manifold Approximation and Projection) is a dimensionality reduction technique used to simplify complex, high-dimensional... | Instagram

This is the single best visualization of how LLM works. Here’s a clear look at the process:1. Training (Learning phase):↳ The model learns from billions of sentences. ↳ It figures out what word… | How to Prompt | 54 comments

From Data Modeling to MLOps For LLMS: Lessons from the DEML Summit