Fine-tuning Language Models for Business Tasks

Instructors: Soheil Haddadi, Reza Moradinezhad +1 more

What you'll learn

  •   Analyze key concepts of Large Language Models, Evolution of Language AI, and fine-tuning.
  •   Identify and analyze how to use LLMs Fine-Tuning for business-specific tasks.
  •   Apply LLM fine-tuning to create your own custom model.
  •   Evaluate the future of LLMs for business use cases and stay updated with the latest trends in Language AI.

    • Skills you'll gain

  •   Forecasting
  •   Prompt Engineering
  •   Business Solutions
  •   Business Strategies
  •   Large Language Modeling
  •   AI Personalization
  •   Artificial Intelligence
  •   Generative AI
  •   Technology Roadmaps
  •   Natural Language Processing

    • There is 1 module in this course

    Main Outcome and Takeaways: 1. Review and apply different LLMs and tools to fine-tune a model for business-specific tasks for making better use of AI in your own business growth. 2. Comprehend LLM Fundamentals: Understand the basics of LLMs and the significance of fine-tuning. (Knowledge) 3. Analyze Business Applications: Evaluate how LLM fine-tuning is applied in different business scenarios. (Analysis) Develop Fine-Tuning Strategies: Create strategies for fine-tuning LLMs to meet specific business needs. (Application) Forecast Future Trends: Anticipate and plan for future developments in LLM technology in business contexts. (Evaluation)

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