ADV-CGPT-DEV
Advanced ChatGPT Development Training
In this Advanced ChatGPT course, attendees learn sophisticated strategies for creating cutting-edge AI-driven applications. This course covers advanced topics such as fine-tuning ChatGPT, multi-model integration, handling complex dialogues, and advanced prompt engineering. Participants also learn to address challenges related to scalability, content safety, and ethical considerations in AI applications.
Through hands-on exercises, in-depth case studies, and expert-led discussions, participants push the boundaries of what's possible with LLMs (large language models) like ChatGPT and develop innovative, high-impact AI solutions.
Course Details
Duration
3 days
Prerequisites
- Strong understanding of AI and machine learning concepts
- Proficiency in Python programming
- Prior experience in building applications using large language models like ChatGPT
- Familiarity with natural language processing (NLP) techniques and tools
Target Audience
- Experienced Python developers,
- AI/ML engineers
- Professionals who have already worked with large language models like ChatGPT and seek to deepen their expertise in building advanced AI-driven applications
Skills Gained
- Master advanced techniques for customizing and optimizing ChatGPT-driven applications
- Implement sophisticated prompt engineering strategies for complex use cases
- Leverage multi-model integration to enhance AI-driven applications
- Address scalability and performance challenges in ChatGPT-driven applications
- Develop a deep understanding of content safety, fairness, and ethical considerations in advanced AI-driven applications
Course Outline
- Day 1
- Module 1: Advanced Fine-Tuning Techniques for ChatGPT
- In-depth exploration of fine-tuning strategies and best practices
- Techniques for optimizing fine-tuned models for specific use cases
- Hands-on exercise: Fine-tuning ChatGPT for a custom AI solution
- Module 2: Handling Complex Dialogues and Context
- Strategies for managing context and maintaining consistency in AI-driven conversations
- Techniques for handling complex, multi-turn dialogues
- Hands-on exercise: Implementing complex dialogue management in a ChatGPT-driven application
- Module 1: Advanced Fine-Tuning Techniques for ChatGPT
- Day 2
- Module 3: Advanced Prompt Engineering and AI-Generated Content Optimization
- Techniques for designing and refining prompts for advanced use cases
- Strategies for optimizing AI-generated content quality, creativity, and relevance
- Hands-on exercise: Developing advanced prompts for a complex AI-driven application
- Module 4: Multi-Model Integration for Enhanced AI-Driven Applications
- Combining ChatGPT with other AI models and services to create multi-faceted applications
- Strategies for integrating NLP, computer vision, and other AI technologies
- Hands-on exercise: Integrating multiple AI models in a ChatGPT-driven application
- Module 3: Advanced Prompt Engineering and AI-Generated Content Optimization
- Day 3
- Module 5: Scalability and Performance Optimization for ChatGPT-Driven Applications
- Techniques for addressing scalability and performance challenges
- Strategies for optimizing API usage and handling rate limits
- Hands-on exercise: Enhancing the performance of a ChatGPT-driven application
- Module 6: Addressing Content Safety, Fairness, and Ethical Considerations (4 hours)
- In-depth exploration of content safety and ethical guidelines for AI-driven applications
- Techniques for identifying and mitigating biases in AI-generated content
- Hands-on exercise: Evaluating and improving content safety and fairness in a ChatGPT-driven application
- Module 7: Capstone
- Presentation and discussion of capstone projects
- Module 5: Scalability and Performance Optimization for ChatGPT-Driven Applications
