Similarity Search & Product Recommendations with OpenAI Embeddings скачать в хорошем качестве

Similarity Search & Product Recommendations with OpenAI Embeddings

🚀 Unlock the POWER of EMBEDDINGS in this in-depth tutorial! 🔍 Learn how to implement embeddings for similarity search and build a product recommendation engine using OpenAI. 🛍️ Discover how to create a more personalized user experience with vector representations of text. 📈 Code : https://github.com/technofriends/open... Chapters: 00:00 Introduction & Recap: A quick overview of what embeddings are and what we covered in Part 1 of this series. 01:21 Finding Similarity Using Embeddings: We demonstrate how to calculate the distances between different text embeddings, identifying semantically similar content using cosine distance. 03:44 Product Search with Embeddings: We build a hypothetical product catalog and implement a simple search functionality using embeddings. 07:42 Recommendations using Embeddings: We explore how to enhance product recommendations using embeddings by incorporating user history and creating a richer context for suggestions. 📌 Don't miss Part 3, where we'll explore Zero short Classification using Embeddings ! Subscribe now for more exciting AI and machine learning content! 🔔 #embeddings #OpenAI #NLP #naturalLanguageProcessing #similaritySearch #productRecommendations #AI #machineLearning #python #vectors #semanticSearch #ecommerce #personalization Watch Part 1 👉    • Mastering Embeddings with OpenAI: Part 1 -...   Let's explore the fascinating world of embeddings together! 🌍 Share your thoughts and experiences in the comments below. 💬