96384 - Large Language Models Bootcamp
Course Overview
Pre-trained Large Language Models like ChatGPT offer impressive capabilities but they cannot be used in scenarios where the underlying data is proprietary and requires industry-specific knowledge. Businesses are rushing to build custom LLM applications that offer enhanced performance, control, customization and most importantly, competitive advantage.Yes, a very basic level of python programming language.
This bootcamp offers a comprehensive introduction to get started with building a ChatGPT on your own data. By the end of the bootcamp, you will be capable of building LLM-powered applications on any dataset of your choice.
This program requires the participant has very basic level of python programming language.
What You'll Learn
Learning Modules:
1. Generative AI and LLM Fundamentals
A comprehensive introduction to the fundamentals of generative AI, foundation models and Large language models
2. Canonical Architectures of LLM Applications
An in-depth understanding of various LLM-powered application architectures and their relative tradeoffs
3. Embeddings and Vector Databases
Hands-on experience with vector databases and vector embeddings
4. Prompt Engineering
Practical experience with writing effective prompts for your LLM applications
5. Orchestration Frameworks: LangChain and Llama Index
Practical experience with orchestration frameworks like LangChain and Llama Index
6. Deployment of LLM Applications
Learn how to deploy your LLM applications using Azure and Hugging Face cloud
7. Customizing Large Language Models
Practical experience with fine-tuning, parameter efficient tuning and retrieval parameter-efficient + retrieval-augmented approaches
8. Building An End-to-End Custom LLM Application
A custom LLM application created on selected datasets
Who Should Attend
- Anyone interested in getting a headstart by getting a hands-on experience with building LLM applications.
- Data professionals who want to supercharge their data skills using cutting-edge generative AI tools and techniques.
- Product leaders at enterprises or startups seeking to leverage LLMs to enhance their products, processes and services.
Additional Information
The Software and subscriptions are included in the registration fee:
- An assortment of software subscriptions worth $500, enhancing the value of the program.
- A 12-month unlimited access to all learning resources, allowing for continuous learning and review.
- A repository of practice materials.
The students needs to bring their own Laptops. As for software installation, the program uses browser-based coding labs. The students will not need to install any software on your own laptop.
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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