Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
Overview of ParlAI Features and Architecture for Government
- ParlAI framework
- Key capabilities and goals
- Core concepts (agents, messages, teachers, and worlds)
Getting Started with ParlAI for Conversational AI for Government
- 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 for Government
- 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 for Government
- The concept of Worlds
- Agent sharing
- Implementing batching
- Dynamic batching
Using Torch Generator and Ranker Agents for Government
- Torch generator agent
- Torch ranker agent
- Example models
- Creating models
- Training and evaluating models
Adding Built-In and Custom Metrics for Government
- Standard metrics
- Adding custom metrics
- Teacher metrics
- Agent level metrics (global and local)
- List of metrics
Speeding up Training Runs in ParlAI for Government
- Setting a baseline
- Skip generation command
- Dynamic batching training command
- Using FP16 and multiple GPUs
- Background preprocessing
Exploring Other ParlAI Topics for Government
- Using and writing mutators
- Running crowdsourcing tasks
- Using existing chat services
- Swapping out transformer subcomponents
- Running and writing tests
- ParlAI tips and tricks
Troubleshooting for Government
Summary and Conclusion for Government
Requirements
- Familiarity with Python or other programming languages for government applications
- Basic understanding of artificial intelligence (AI) concepts
Audience
- Researchers
- Developers
14 Hours
Testimonials (1)
The detail in which the instructor explained all the concepts.
