Module 4: Transformers for NLP tasks#
AINS6004 — Natural Language Processing
Essential Question#
How are transformer encoders and decoders adapted to applications?
Scenario#
a product team evaluating an NLP workflow before using it in customer-facing communication
Stakeholders: product manager, support lead, privacy reviewer, and model evaluator
Core Moves#
Define the decision boundary
Compare baseline and alternative
Interpret evidence and assumptions
Identify failure modes
Recommend next action
Lab & Assignment#
Prototype classification or extraction with a small transformer.
Artifact: NLP evaluation packet with task framing, retrieval/evaluation design, and deployment guardrails focused on transformers for nlp tasks: Prototype classification or extraction with a small transformer.