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Duration 14 hours
Course Outline
Introduction to ChatGPT
- Overview of ChatGPT and its core capabilities
- Understanding the architectural advancements in GPT-4
Working with the ChatGPT API
- Accessing the ChatGPT API
- Constructing API requests and managing responses
- Examining API parameters and configuration options
Building Conversational Agents
- Designing the conversational flow for your agent
- Integrating ChatGPT into your application architecture
- Processing user input and generating model-driven responses
Leveraging GPT-4's Enhanced Capabilities
- Harnessing GPT-4's improved performance in natural language understanding and generation
- Utilizing advanced features such as multi-modal learning and context awareness
Customizing ChatGPT
- Fine-tuning ChatGPT for specific domains or tasks
- Preparing datasets for fine-tuning processes
- Techniques for enhancing model performance and accuracy
Scaling and Deployment Considerations
- Managing high volumes of user interactions
- Handling concurrency and optimizing system performance
- Deploying ChatGPT in production environments
Best Practices and Ethical Considerations
- Ensuring the responsible and ethical use of ChatGPT
- Addressing biases and ethical concerns in AI applications
- Staying current with the latest developments and trends in AI
Future Developments and Trends
- Exploring future directions of language models beyond GPT-4
- Gaining insights into ongoing research and upcoming AI advancements
Summary and Next Steps
Requirements
- Proficiency in a programming language (such as Python)
- Familiarity with artificial intelligence and natural language processing concepts
Target Audience
- Developers
- Software engineers
- AI professionals and enthusiasts
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
