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Course Outline
Getting Started with ChatGPT
- Overview of ChatGPT’s core capabilities
- Understanding the architectural advancements in GPT-4
Interacting with the ChatGPT API
- Accessing the ChatGPT API endpoints
- Managing API requests and processing responses
- Investigating API parameters and configuration options
Creating Conversational Agents
- Designing effective conversational flows for your agent
- Embedding ChatGPT into your application stack
- Processing user inputs and generating coherent model responses
Unlocking the Enhanced Power of GPT-4
- Leveraging GPT-4’s superior natural language understanding and generation
- Applying advanced features like multi-modal learning and context awareness
Tailoring ChatGPT
- Fine-tuning ChatGPT for specific domains or operational tasks
- Preparing datasets for effective fine-tuning
- Strategies to enhance model accuracy and performance
Scaling and Deployment Strategies
- Managing high-throughput user interactions
- Optimizing performance through concurrency management
- Deploying ChatGPT within production environments
Best Practices and Ethical Frameworks
- Promoting responsible and ethical usage of ChatGPT
- Mitigating biases and addressing ethical concerns in AI systems
- Staying current with evolving AI trends and developments
Future Directions and Trends
- Looking ahead at the evolution of language models beyond GPT-4
- Insights into current research and upcoming AI innovations
Conclusion and Path Forward
Requirements
- Solid proficiency in a programming language (such as Python)
- Basic understanding of AI and natural language processing principles
Target Audience
- Software Developers
- Software Engineers
- AI Professionals and Enthusiasts
14 Hours
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
