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Large Language Models

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Course Introduction

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0 of 19 lessons
  • Course Introduction3:51
  • Before the Era of Transformers7:02
  • Basics of Tokenization4:34
  • Transformers Architecture - Part One8:02
  • Transformers Architecture - Part Two5:07
  • Transformers Architecture - Part Three: Multi-Head Attention Mechanism4:54
  • Transformers Architecture - Part Four9:43
  • Different Architectural Patterns of Transformers10:02
  • Prompts and Prompt Engineering6:45
  • BERT Model and Its Applications17:37
  • Configuration Parameters in LLMs7:52
  • Hugging Face Platform - Part One15:17
  • Hugging Face Platform - Part Two13:41
  • Hugging Face Platform - Part Three15:15
  • Practical Project: Summarizing YouTube Content Using Transformers - Part One20:16
  • Practical Project: Summarizing YouTube Content Using Transformers - Part Two15:41
  • Introduction to Fine-Tuning15:17
  • PEFT Techniques (Parameter-Efficient Fine-Tuning)7:42
  • LoRA Technique (Low-Rank Adaptation)9:30