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.