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Duration 14 hours
Course Outline
Introduction to ChatGPT
- An overview of ChatGPT and its core capabilities.
- Understanding the architectural advancements in GPT-4.
Working with the ChatGPT API
- Accessing the ChatGPT API.
- Making 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 stack.
- Processing user input and generating model responses.
Leveraging Enhanced GPT-4 Capabilities
- Utilizing GPT-4’s improved performance in natural language understanding and generation.
- Applying 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 to enhance 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 AI developments and trends.
Future Developments and Trends
- Exploring the future trajectory 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.
- A foundational understanding of AI and natural language processing concepts.
Target Audience
- Developers.
- Software engineers.
- AI enthusiasts.
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
