In this comprehensive 2-day course, you will learn to develop custom chat agents using the OpenAI API. The curriculum covers essential concepts, including selecting the right models for your specific needs, such as GPT-4, GPT-3.5, DALL-E, Whisper, and specialized models, along with critical information about OpenAI's data usage policies and usage guidelines.
The course provides detailed instruction on building functional chat applications from the ground up. You will master the foundational roles used in conversations (system, user, and assistant), learn effective response formatting techniques, and develop proficiency in token management to optimize API usage and costs. Additionally, you will explore Whisper's Speech to Text capabilities, including how to handle transcriptions, translations, processing longer audio inputs, and applying strategic prompting techniques to improve results.
Throughout the course, emphasis is placed on implementing best practices for safety and production-ready deployment. By completing this training, you will possess the technical knowledge and practical skills necessary to design and implement chat agents for business applications or personal projects.
Prerequisites
To succeed in this 2-day course, prior participation in our AI Workbench class is recommended, or you should possess fundamental programming knowledge, including syntax understanding in Python, JavaScript, or similar languages. Basic familiarity with API concepts and how to work with them is also beneficial.
Curriculum Overview
- Key Concepts and Fundamentals
- Starting with Effective Instructions
- Incorporating Examples
- Configuring and Adjusting Settings
- Building and Deploying Your Application
Available Models
- Model Overview and Capabilities
- GPT-4 Features and Applications
- GPT-3.5 Capabilities
- DALL-E for Image Generation
- Whisper for Speech Processing
- Embeddings for Semantic Search
- Specialty Models for Specialized Tasks
OpenAI Policies and Guidelines
- Data Usage Policies
- Usage Policies and Limitations
Chat Application Development
- Getting Started
- Understanding Roles: System, User, and Assistant
- Response Format Configuration
- Token Management Strategies
Speech to Text with Whisper
- Whisper Overview
- Transcription Services
- Translation Services
- Processing Longer Audio Inputs
- Advanced Prompting Techniques
Safety and Production Practices
- Security Considerations
- Production Deployment Best Practices
