Скачать с ютуб Introduction to Large Language Models (LLMs): Pretraining, Finetuning, and Use Cases Explained в хорошем качестве

Introduction to Large Language Models (LLMs): Pretraining, Finetuning, and Use Cases Explained

Welcome to 'Introduction to Large Language Models.' In this video, you’ll learn what large language models (LLMs) are, explore their key use cases, and dive into the concepts of prompt tuning, pretraining, and finetuning. We’ll also discuss leading LLMs like GPT, PaLM, and LLaMA, and how they’re transforming the AI landscape. Whether you’re new to AI or looking to deepen your understanding, this video is your comprehensive guide to LLMs. Don’t forget to like, subscribe, and hit the bell icon to stay updated on more AI content! Content: 00:00 - Introduction 00:50 - What Are Large Language Models (LLMs)? 01:05 - Pretraining vs. Finetuning Explained 02:15 - Key Features of Large Language Models 03:25 - Benefits of Large Language Models 04:30 - Notable Large Language Models: GPT, PaLM, LLaMA 7:15 - The Transformer Architecture 8:15 - LLMs vs. Traditional Machine Learning 11:25 - Prompt Design vs Prompt Engineering 12:15 - Types of LLMs 13:48 - Advanced Concepts: Chain of Thought and Task-Specific Tuning 15:25 - Conclusion and Next Steps