BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Course Overview
In this his two day, instructor-led Large Language Models (LLMs) course in Washington, DC Metro, Tysons Corner, VA, Columbia, MD or Live Online, participants learn how to build practical, innovative, and impactful applications using LMMs like ChatGPT. The course covers model selection, API integration, and prompt engineering. Participants also explore techniques for optimizing AI-generated content to ensure content safety and address biases in AI-driven applications. Through hands-on exercises, case studies, and real-world examples, participants gain real-world experience in developing applications that harness the power of state-of-the-art AI technology.At the completion of this course, students will be able to:
- Understand the principles and applications of large language models like ChatGPT in building AI-driven applications
- Select and integrate large language models into Python applications using APIs
- Design and refine prompts for AI-generated content tailored to specific use cases
- Optimize AI-driven applications for performance, content safety, and fairness
- Develop practical, real-world applications using large language models like ChatGPT
Schedule
Currently, there are no public classes scheduled. Please contact a Phoenix TS Training Consultant to discuss hosting a private class at 301-258-8200.
Program Level
Advanced
Prerequisites
This course is intended for:
- Python Developers
- Software Engineers
- AI/ML Engineers
- Professionals interested in building applications using large language models like ChatGPT
All learners are expected to have:
- Strong understanding of AI and machine learning concepts
- Proficiency in Python programming
- Familiarity with natural language processing (NLP) techniques and tools is recommended but not mandatory
Course Outline
Module 1: Introduction to Large Language Models and Python Integration
- Overview of large language models (e.g., GPT-3, ChatGPT)
- Principles of integrating large language models into Python applications
- Introduction to available APIs and libraries for working with large language models
Module 2: Model Selection and API Integration
- Criteria for selecting appropriate models and architectures for specific use cases
- Best practices for API integration and handling rate limits
- Hands-on exercise: Integrating ChatGPT or a similar large language model into a Python application
Module 3: Prompt Engineering for AI-Driven Applications
- Principles of prompt design for AI-generated content
- Techniques for creating and refining prompts for various use cases
- Hands-on exercise: Designing and refining prompts for a specific AI-driven application
Module 4: Optimizing AI-Driven Applications for Performance and Safety
- Techniques for improving AI-generated content quality, relevance, and novelty
- Ensuring content safety and adherence to ethical guidelines
- Hands-on exercise: Optimizing an AI-driven application for performance and safety
Module 5: Addressing Biases and Fairness in AI-Driven Applications
- Identifying and mitigating biases in AI-generated content
- Best practices for promoting fairness and inclusivity in AI-driven applications
- Hands-on exercise: Evaluating and improving an AI-driven application for fairness
Module 6: Capstone Project
- Building a custom AI-driven application using a large language model like ChatGPT
- Presentation and discussion of capstone projects
BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Phoenix TS is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints re-garding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org
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