Understanding Large Language Models in Business

Aperçu

This course offers a deep dive into Large Language Models (LLMs), exploring their capabilities, applications, challenges, and future potential in the business landscape. Through a blend of theoretical insights and practical examples, learners can review and acquire concepts related to LLMs and their transformative impact on various industries.

Today, major organizations use related LLM technologies such as Customer Support Chatbots, Marketing Content Generation, and Software Development tools.

The impact of these technologies combined with real-time Data Analytics has transformed a wide range of industries, from airlines, advertising agencies, legal firms, and health care, just to name a few. Overall, Generative AI is changing the landscape faster than ever.

As we dive into the lessons of this course, we will frame our discussions through several cases for marketing, software programming, content creation, and analytics.

This course provides a 360° overview of the current abilities of state-of-the-art LLMs for businesses. Moreover, through this course, you will learn to identify some of the trends behind LLMs such as Neural Networks, Transformers, source models, and APIs.

This program is designed for:

• Entrepreneurs, business executives, and employees in general, will be able to evaluate how LLMs could affect their business.
• Non-technical participants who can detect areas in which LLMs can improve their productivity.
• Technical participants who will generate ideas to apply their skills and use LLMs to their advantage.
• Learners who will have an opportunity to foresee what areas of business are likely to be impacted by LLMs.

Learners should ideally possess the following prerequisite skills:

Basic knowledge about business and startups; Curiosity for the field of AI; and General interest in machine learning and AI-related technologies.

University:

Provided by Coursera

Categories:

Neural Networks Courses, Generative AI Courses, Transformers Courses, Data Analytics Courses

Matières