Free Hugging Face Transformers Course for Generative Tasks

261 Learners

Course Overview

Course Overview to be entered here

Skills Covered

Course Curriculum

Course Content

  • Free Hugging Face Transformers Course for Generative Tasks

    Preview
    • Lesson 01: Course Introduction

      03:43Preview
      • 1.01 Course Introduction Using Hugging Face Transformers for Generative Tasks
        03:43
    • Lesson 02: Learning Objectives

      01:15Preview
      • 2.01 Learning Objectives
        01:15
    • Lesson 03: Introduction to Generative AI and Hugging Face Ecosystem

      12:33Preview
      • 3.01 Introduction to Generative AI
        05:00
      • 3.02 Hugging Face Ecosystem
        02:33
      • 3.03 Transformer Model Types
        05:00
    • Lesson 04: Text Generation with Pretrained Transformer Models

      20:19
      • 4.01 Text Generation with Pretrained Transformer Models
        03:57
      • 4.02 Key Parameters for Text Generation and Common LLM Failure Scenarios
        05:43
      • 4.03 Demo Text Generation with Hugging Face Pipelines
        10:39
    • Lesson 05: Prompt Engineering and Controlled Text Generation

      38:13Preview
      • 5.01 Introduction to Prompt Engineering
        04:33
      • 5.02 Prompting Techniques and Controlling AI Responses in Text Generation
        02:58
      • 5.03 Prompt Debugging Techniques
        04:01
      • 5.04 Demo Prompt Engineering for Controlled Output​ Part 1
        08:00
      • 5.05 Demo Prompt Engineering for Controlled Output​ Part 2
        08:51
      • 5.06 Demo Text Summarization Using Encoder Decoder Models​
        09:50
    • Lesson 06: Key Takeaways

      01:40Preview
      • 6.01 Key Takeaways
        01:40
      • Knowledge Check

Why Join this Program

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

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  • Career Impact Results vary based on experience and numerous factors.