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Overview
Since its initial release in November 2022, ChatGPT (powered by OpenAI's GPT language model) has taken the world by storm. But it’s not the only application using large language models (LLM) that is reshaping the enterprise landscape.
Microsoft’s Bing AI (Sydney), Google’s Bard, and Meta’s LLaMA are also competing for dominance in the space of generative AI, powering technologies from advanced search to conversational agents. When the dust settles, the disruption will be nothing less than a reinvention of how organizations operate.
With the most recent release of OpenAI's GPT-4 language model, it is being used by Morgan Stanley wealth management to organize its vast knowledge base, Be My Eyes to transform visual accessibility, Stripe to streamline user experience and combat fraud, and the Government of Iceland to preserve its language.
Features
In this Participants in this ChatGPT and the Large Language Model Revolution course, Dr. Jimmy Lin, professor of computer science and the co-director of the AI Institute at the University of Waterloo, will explain in business-friendly terms how LLMs work, separate hype from the reality of current capabilities, and point to where these technologies seem to be headed in the near future.
Programme Structure
What you will learn:
- Identify relevant uses of LLMs and how they will impact the future of work
- Discover how transformer architectures and machine learning paradigms apply to LLMs
- Explore the lifecycle of LLMs, from pre-training to fine-tuning to inference
- Evaluate cost/quality trade-offs when designing and deploying LLMs
- Recognize and select the right tools for different LLM tasks
- Harness prompt engineering to extract maximum value from LLMs
- Understand where LLMs can fit within enterprise IT systems, including potential integrations with data lakes, content management systems, and dashboards
- Identify opportunities and implementation barriers in the enterprise landscape
Key information
Duration
- Part-time
- 21 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
More details
- No start date available.
Language
English
Delivered
Online
Campus Location
- Waterloo, Canada
Disciplines
Artificial Intelligence Machine Learning View 12 other Short Courses in Machine Learning in CanadaWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is designed to help leaders from any industry learn about LLMs and their business applications.
Who will benefit:
- Organizational leaders (executives of all levels) who wish to understand how LLMs are reshaping the business and government sectors.
- Leaders who need to know what is required to implement LLM applications in their organizations.
- Senior managers and directors who wish to enhance their digital-ready skill sets.
- Consultants who wish to further understand LLMs and their applications.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents849 CAD / full≈ 849 CAD / full -
Domestic Applies to you
Applies to youCitizens or residents849 CAD / full≈ 849 CAD / full
Funding
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