96384 - Large Language Models for Everyone
Course Overview
Large language models course is designed for anyone interested in getting started with large language models and generative AI without all the math and programming. This large language models course is not technical, but we have included a lot of resources, just in case. Access hundreds of coding exercises, sandboxes, free tutorials, and other bonus learning material. All students receive a 12-month access to the learning platform. The live instructor-led sessions are 4 hours long. There is a lot more learning material available before and after the live session.
What You'll Learn
Learning Modules:
- Fundamentals - Understand how machines see and read. Intuitive understanding of the foundations of machine learning, AI and generative AI.
- Embeddings - An introduction to how images, text, audio and video are converted into vectors.
- Vector Databases - Understanding how embeddings are stored, optimized and retrieved using vector databases.
- Mechanics of Generative AI - Understanding how generative AI and large language models work. An intuitive overview minus all the math and programming.
- Prompt Engineering - Understanding prompt engineering and the role prompt engineering plays in getting the most out of large language models.
- Retrieval-Augmented Generation - RAG is one of the most popular paradigms for LLM applications. Understand the rationale for RAG, how it is implemented and why it is so popular.
- Fine-Tuning - Unerstand fine turning and how it is different from RAG. Discuss when RAG or fine tuning may be the right choice for building LLM applicataions.
- Risks and Challenges - Discuss the risks and challenges in adoption of large language models for enterprises. Learn about RLHF, prompt hacking/jailbreaking, guardrails, AI and data governance.
- Enterprise Architecture - Overview of a canonical enterprise LLM application architecture and all the moving parts.
Who Should Attend
- Product managers and leaders
- Startup founders
- Software developers
- Consultants
- Legal professional
- Doctors
- Journalists
- Compliance officers
- Business executives
Additional Information
Any software licenses, tools, and computing resources are included. API keys are also included for LLM usage.Prerequisites
There are no prerequisites for this program. The course is designed for all backgrounds and industries.
UNM Tuition Remission
UNM Staff, Faculty, and Retirees: This course is Tuition Remission eligible under Professional Development. For more information, visit the UNM Tuition Remission information page.
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