Скачать или смотреть AI SDK V5 Tutorial - 28 - Embeddings

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Embeddings

In this lesson, we dive into the power of AI embeddings and how they can transform searches beyond keyword matching. Learn how to build an AI chat interface for internal company use, handling diverse information needs from developers to support teams. Discover the limitations of traditional search and explore how embeddings represent text in a multi-dimensional space, making it possible to find content based on meaning. We discuss embeddings, vectors, and cosine similarity, and their real-world applications like customer support, content moderation, and retrieval-augmented generation. We'll also cover practical implementation with OpenAI's embedding models. Join us to uncover the future of intelligent searching.

00:00 Introduction
00:59 Challenges with Traditional Search
01:56 Understanding Embeddings
02:43 Vectors and Dimensions
05:18 Applications of Embeddings

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