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LLM Crash Course - Chapter 2 | Embeddings and Parameters Explained

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May 21, 2024
10:04

In this second chapter of this course, we'll dive into the fascinating world of embeddings, where words are transformed into meaningful numerical representations. You'll learn how embeddings breathe life into raw text data, enabling machines to understand the nuances of language and context. We'll explore the applications of embeddings in various domains, such as semantic search, recommendation systems, and clustering. Discover how parameters act as the tuning knobs, adjusting the model's internal workings to create these meaningful embeddings. With simplified examples and analogies, we'll make complex concepts easy to grasp. So, buckle up and get ready to unravel the magic behind embeddings in this chapter of our journey through the realm of natural language processing. What you will learn: The concept of embeddings and how they represent words in a numerical format The role of parameters in adjusting the model's internal workings to create meaningful embeddings Applications of embeddings in various domains, including semantic search, recommendation systems, and clustering Simplified examples and analogies to make complex concepts easy to understand FOLLOW ME ON: ▶️ Main Channel: /bytemonk Timestamps - 00:00 - Introduction 00:51 - Embedding 01:18 - Applications of Embeddings 01:22 - Traditional Search 01:50 - Semantic Search 02:28 - Recommendation Systems 02:34 - Clustering & Categorization 02:40 - Similarity Analysis 03:06 - Tokenization 03:28 - Parameters 03:58 - Dictionary 04:55 - Apple Example 08:06 - Model Parameters 09:40 - Prompt Parameters LinkedIn: https://www.linkedin.com/in/bytemonk/ System Design Interview Basics Playlist: ►https://www.youtube.com/playlist?list=PLJq-63ZRPdBt423WbyAD1YZO0Ljo1pzvY AWS Certification: ►AWS Certified Cloud Practioner: https://youtu.be/wF1pldkQrOY ►AWS Certified Solution Architect Associate: https://youtu.be/GzomXNLFgkk ►AWS Certified Solution Architect Professional: https://youtu.be/KFZrBxSA9tI #llm #promt #softwareengineering

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LLM Crash Course - Chapter 2 | Embeddings and Parameters Explained | NatokHD