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Course Outline
Introduction
Overview of ParlAI Features and Architecture
- ParlAI framework
- Key capabilities and goals
- Core concepts (agents, messages, teachers, and worlds)
Getting Started with ParlAI for Conversational AI
- Installation
- Adding a simple model
- Simple display data script
- Validation and testing
- Tasks
- Agent training and evaluation
- Interacting with models
Working with Tasks and Datasets in ParlAI
- Adding datasets
- Separating data into sets (train, valid, or test)
- Using JSON instead of a text file
- Creating and executing tasks
Exploring Worlds, Sharing, and Batching
- The concept of Worlds
- Agent sharing
- Implementing batching
- Dynamic batching
Using Torch Generator and Ranker Agents
- Torch generator agent
- Torch ranker agent
- Example models
- Creating models
- Training and evaluating models
Adding Built-In and Custom Metrics
- Standard metrics
- Adding custom metrics
- Teacher metrics
- Agent level metrics (global and local)
- List of metrics
Speeding up Training Runs in ParlAI
- Setting a baseline
- Skip generation command
- Dynamic batching training command
- Using FP16 and multiple GPUs
- Background preprocessing
Exploring Other ParlAI Topics
- Using and writing mutators
- Running crowdsourcing tasks
- Using existing chat services
- Swapping out transformer subcomponents
- Running and writing tests
- ParlAI tips and tricks
Troubleshooting
Summary and Conclusion
Requirements
- Knowledge of Python or other programming languages
- General understanding of artificial intelligence (AI) concepts
Audience
- Researchers
- Developers
14 Hours
Testimonials (4)
The engagement of the instructor
Wayne Jeftha - Vodacom
Course - Microsoft Bot Framework Composer
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
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