Training AI Models on Custom Data with Word2Vec скачать в хорошем качестве

Training AI Models on Custom Data with Word2Vec

Welcome to Episode 3 of the Bill's Guide to A.I. series! In this episode, Bill Kennedy takes a hands-on approach to show how custom AI models can be trained using specific data, introducing the Word2Vec model by Google. This exploration gives viewers a deeper understanding of how AI models can learn from custom datasets and make more accurate predictions tailored to specific needs. Bill walks through the process of cleaning and preparing custom data, in this case, Amazon cell phone and accessory reviews, to feed into the Word2Vec model. He demonstrates how to train the model on this specific dataset, highlighting how the model generates embeddings based on the unique data provided. Bill then shows how the model can find similarities between different words, allowing for more accurate context-based word associations. Whether you’re curious about training custom AI models or looking to get hands-on with tools like Word2Vec, this episode offers a step-by-step guide to help you understand how these processes work and how they can be applied to create more personalized AI solutions. Things you will learn in this video: Using Word2Vec for Custom AI Training: Learn how to train a Word2Vec model on your own data. Understanding Word Embeddings: See how word vectorization creates meaningful relationships between words. Building AI Models for Specific Use Cases: Explore how AI models can be trained to tailor results based on custom datasets. Comment below or tweet us on twitter & let us know your thoughts, we want to hear from you! ~ If you found this video helpful, hit that like button & subscribe for more content like this. ---- Access our online courses → https://www.ardanlabs.com/education/ Attending a live training → https://www.ardanlabs.com/live-traini... Other Links: Website: https://www.ardanlabs.com/ Github: https://github.com/ardanlabs Twitter:   / ardanlabs   #A.I #programming #education #tutorials #tips