Fine-tuning Language Models for Business Tasks

via Coursera

Coursera

1275 Courses


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Overview

Fine-tuning Language Models for Business Tasks

This course demystifies the concept of "LLM fine-tuning" and its critical applications in the business world. In the context of rapidly evolving AI technologies, understanding how to fine-tune Large Language Models (LLMs) is essential for businesses to stay competitive. The course covers foundational concepts, the background of LLMs, current uses in various industries, and a glimpse into future possibilities. Through real-life examples, learners will see how fine-tuning LLMs can lead to more efficient, personalized, and innovative business solutions.

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)
  4. Develop Fine-Tuning Strategies: Create strategies for fine-tuning LLMs to meet specific business needs. (Application)
  5. Forecast Future Trends: Anticipate and plan for future developments in LLM technology in business contexts. (Evaluation)

University: Provider: Coursera. Categories: Artificial Intelligence Courses, Machine Learning Courses, Data Science Courses, Innovation Courses, Fine-Tuning Courses.

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