Assoc. Dir AI Research at Collins Aerospace
Applications of Generative AI with Large Language Models
13:00 – 14:30
Abstract
Dive into the revolutionary world of AI with this course on Large Language Model (LLM) Application Development! Designed for beginners with no prior knowledge of computer programming or AI, this course offers a seamless entry into the exciting field of machine learning and natural language processing. You’ll learn how groundbreaking models like GPT and BERT are transforming the digital landscape, enabling machines to understand and generate human-like text. By the end of this course, you’ll be equipped with the knowledge and hands-on experience to start building your own AI-driven applications, from chatbots to content generators, and beyond. Join us on this enlightening journey into the world of AI and large language models. Unlock the potential of AI to create innovative solutions and pave the way for a future filled with exciting possibilities. No prerequisites, no barriers—just a world of learning waiting for you!
Learning Objectives
- Grasp the Basics: Understand the fundamental concepts of AI, machine learning, and LLMs.
- Tool Mastery: Get familiar with key tools and libraries essential for LLM application development.
- Hands-On Application: Learn to implement and customize applications using LLMs for various tasks.
- Ethical Insight: Gain insight into the ethical considerations in AI development, focusing on bias and fairness.
- Project Completion: Apply everything you’ve learned to create a capstone project, showcasing your new skills.
Who This Workshop For
Anyone curious about AI and large language models, especially:
- Individuals looking to understand the impact of LLMs in technology and society.
- Professionals and students aiming to get a head start in AI application development.
- Beginners without prior programming or AI knowledge.
Workshop Outline
Part 1: Introduction to AI and Large Language Models (30 minutes)
- Overview of AI, machine learning, neural networks, and deep learning.
- Introduction to Large Language Models (LLMs) and applications.
- Inspirational application examples using LLMs.
Part 2: Understanding and Working with LLMs (1 hours)
- Basic architecture and functioning of LLMs.
- Pretrained models, fine-tuning, and hands-on practice with text generation.
Depend on speed of workshop:
Part 3: Development Tools and Environment Setup (45 minutes)
- Overview of essential tools and libraries (Anaconda, Python, LLM APIs).
- Setting up a development environment for LLM projects.
Part 4: Developing Applications with LLMs (2 hours)
- Implementing applications: text summarization, translation, and chatbot creation.
- Iterative prompting and large data
- Introduction to fine-tuning models for domain-specific tasks.
Bio Barclay Brown
Barclay R. Brown is Associate Director for AI Research at Collins Aerospace, a division of RTX. Before joining Collins, he was an Engineering Fellow in Raytheon Missiles and Defense, focusing on MBSE, and prior to that he was the Global Solution Executive for the Aerospace and Defense Industry at IBM. Dr. Brown holds a bachelor’s degree in electrical engineering, two master’s degrees in psychology and business and a PhD in industrial and systems engineering. He is author of Engineering Intelligent Systems, published by Wiley, and is a certified Expert Systems Engineering Professional (ESEP), certified Systems Engineering Quality Manager, and former CIO of INCOSE.