Corporate ChatGPT (GPT-4) for Developers Training Course

1. Overview of ChatGPT and its capabilities
   • Exploring the potential of ChatGPT
   • Key features and functionalities
2. Understanding the advancements in GPT-4 architecture
   • Evolution from previous versions
   • Technical enhancements and their impact

1. Accessing the ChatGPT API
   • Getting started with API keys
   • Setting up your development environment
2. Making API requests and handling responses
   • Constructing requests
   • Parsing and utilizing responses
3. Exploring API parameters and options
   • Customizing requests for different outputs
   • Advanced parameters for specific needs

1. Designing the conversational flow of your agent
   • Mapping out user interactions
   • Creating dynamic conversation paths
2. Integrating ChatGPT into your application
   • Embedding ChatGPT in various platforms
   • Technical considerations for integration
3. Handling user input and generating model responses
   • Processing and understanding user queries
   • Generating relevant and coherent responses

1. Harnessing GPT-4's improved performance for natural language understanding and generation
   • Exploiting enhanced language abilities
   • Case studies of effective application
2. Utilizing advanced features such as multi-modal learning and context awareness
   • Exploring multimodal capabilities
   • Leveraging context for better interactions

1. Fine-tuning ChatGPT for specific domains or tasks
   • Adapting ChatGPT to niche requirements
   • Strategies for effective fine-tuning
2. Dataset preparation for fine-tuning
   • Curating and preparing data
   • Ensuring data quality and relevance
3. Techniques for improving model performance and accuracy
   • Optimization strategies
   • Evaluating and enhancing model output

1. Managing high volumes of user interactions
   • Strategies for scaling
   • Ensuring consistent performance under load
2. Handling concurrency and optimizing performance
   • Concurrency management techniques
   • Performance optimization best practices
3. Deploying ChatGPT in production environments
   • Deployment strategies
   • Monitoring and maintenance

Module 7: Best Practices and Ethical Considerations

1. Ensuring responsible and ethical use of ChatGPT
   • Guidelines for ethical AI use
   • Mitigating risks and ensuring fairness
2. Addressing biases and ethical concerns in AI applications
   • Identifying and addressing biases
   • Promoting diversity and inclusion in AI
3. Keeping up with the latest developments and trends in AI
   • Continuous learning and adaptation
   • Leveraging new advancements and insights

1. Exploring the future directions of language models beyond GPT-4
   • Envisioning next-generation AI models
   • Potential impacts on various industries
2. Insights into ongoing research and upcoming advancements in AI
   • Cutting-edge research in AI
   • Preparing for future technological shifts