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Advanced ChatGPT Development

In this 3-day advanced course, participants will delve deeper into the world of ChatGPT development, exploring sophisticated techniques and strategies to create cutting-edge AI-driven applications....

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$3,000 USD
Course Code ADV-CGPT-DEV
Duration 3 days
Available Formats Classroom

In this 3-day advanced course, participants will delve deeper into the world of ChatGPT development, exploring sophisticated techniques and strategies to create cutting-edge AI-driven applications. The course will cover advanced topics such as fine-tuning ChatGPT, multi-model integration, handling complex dialogues, and advanced prompt engineering. Participants will also learn to address challenges related to scalability, content safety, and ethical considerations in AI-driven applications. Through hands-on exercises, in-depth case studies, and expert-led discussions, participants will gain the knowledge and skills required to push the boundaries of what's possible with large language models like ChatGPT and develop innovative, high-impact AI solutions.

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

Who Can Benefit

Experienced Python developers, AI/ML engineers, and professionals who have already worked with large language models like ChatGPT and seek to deepen their expertise in building advanced AI-driven applications

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
  • Familiarity with natural language processing (NLP) techniques and tools

Course Details

Throughout the course, participants will engage in hands-on exercises, in-depth case studies, and expert-led discussions to reinforce learning and encourage collaboration among peers. The capstone project at the end of the course will provide an opportunity for participants to showcase their advanced skills and expertise by developing a complex, custom AI-driven application using ChatGPT.

By the end of this advanced course, participants will have mastered the intricacies of ChatGPT development and gained a deep understanding of the advanced techniques and strategies required to create cutting-edge AI-driven applications. They will leave the course with the expertise to push the boundaries of what's possible with large language models like ChatGPT, developing innovative, high-impact AI solutions for a wide range of domains and industries.

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

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

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

  • Participants will apply the advanced concepts and techniques learned throughout the course to develop a sophisticated AI-driven application using ChatGPT
  • Presentation and discussion of capstone projects