Understanding LLMs and Their Business Applications
This course offers a deep dive into Large Language Models (LLMs), exploring their capabilities, applications, challenges, and future potential in the business landscape.
Segment 01 - Introduction & Meet the Instructor
Segment 02 - Defining Large Language Models (LLMs)
Segment 03 - Evolution of LLMs Over the Last Decade
Segment 04 - The Key Concepts in LLM Technology: Token and Embedding (Part 1)
Segment 05 - The Key Concepts in LLM Technology: Transformers and Self-Attention (Part 2)
Segment 06 - Can LLMs do the Programming for You?
Segment 07 - Prompt Engineering for Defeating Hallucination
Segment 08 - Can LLMs Automate Marketing Content for you?
Segment 09 - Fast Track of the AI Landscape
Segment 10 - Opportunities with LLMs
Segment 11 - Fast Forward: 10 Challenges with LLMs (Part 1)
Segment 12 - Fast Forward: 10 Challenges with LLMs (Part 2)
Segment 13 - Solving: Is Prompt Engineering All That You Need?
Segment 14 - Build a roadmap to implement LLMs in your business
Segment 15 - Continuous Learning and Exploration of LLMs
Segment 16 - Recap of Key Concepts and Insights for understanding LLMs
Segment 17 - Opportunities and Threats: The Future of LLM