Natural Language Processing
Aims
Goal: propose a language-AI solution to a team lead — named technique, hedged payoff, and the limits raised by you first.
The lesson, stage by stage
- Warm up5 min
Warm-up: Propose a language-AI solution
2 warm-up questions
- Reading10 min
Reading: What makes a proposal land
Read a 224-word text about What makes a proposal land
- Vocabulary8 min
Vocabulary: NLP Vocabulary
7 items
- Framework6 min
Framework: The Solution Proposal
Pain – Tool – Payoff – Limits, 4 steps
- Reading10 min
Reading: Three model proposals
Read a 317-word text about Three model proposals
- Practice7 min
Practice: Match NLP Concepts
Matching exercise, 6 items
- Practice7 min
Practice: NLP Sentences
Word-ordering exercise, 4 items
- Dialogue10 min
Dialogue: Proposing an NLP Solution
Role-play: You're presenting an NLP-based solution to your team lead (6 lines)
- Discussion10 min
Discussion: Propose it for real
3 discussion questions
Open the full lesson
The remaining 8 stages of this lesson, with the procedure, the examples and the exercises, are included with Starter, along with the interactive version you can teach from. Lesson 1 of this course is free: the full plan is on this site, and a free account opens it in the interactive player.
Target vocabulary
In a Tuton account these words become your student's vocabulary deck, so they come back in practice between lessons.
This plan comes from the AI & Data Topics course in the Tuton library. Browse all free lesson plans.