bsantraigi/2023-IndoML-Datathon-Tutorial

Intent Detection: From Sesame Street to LLMs #IndoML 2023 #Datathon #Tutorial

29
/ 100
Experimental

This tutorial helps data scientists and machine learning engineers understand and apply intent detection techniques to text data. It guides you through analyzing a dataset of multilingual text with user intents, then demonstrates how to build and fine-tune transformer models or use large language models (LLMs) via prompt engineering to automatically classify these intents. You'll learn to take raw text data and produce categorized intent labels.

No commits in the last 6 months.

Use this if you are a data scientist or machine learning engineer looking to implement or improve intent detection for text-based applications.

Not ideal if you are an end-user seeking a ready-to-use application for intent detection without needing to build or customize models.

natural-language-processing intent-classification machine-learning-engineering text-analytics chatbot-development
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 17 / 25

How are scores calculated?

Stars

8

Forks

8

Language

Jupyter Notebook

License

Last pushed

Aug 26, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/bsantraigi/2023-IndoML-Datathon-Tutorial"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.