hellohaptik/multi-task-NLP

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

45
/ 100
Emerging

This toolkit helps NLP developers efficiently build conversational AI systems. It takes raw text data for various natural language understanding (NLU) tasks and outputs a single, consolidated model capable of performing all those tasks. The end-users are NLP developers who want to create more streamlined and less resource-intensive AI components.

373 stars. No commits in the last 6 months.

Use this if you are an NLP developer building a conversational AI system and need to manage multiple NLU tasks with a single, optimized model to reduce resource consumption and latency.

Not ideal if you are a non-developer or only need to train a single-task NLP model without concerns for multi-task efficiency.

conversational-AI natural-language-processing NLU-model-development NLP-engineering machine-learning-operations
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 19 / 25

How are scores calculated?

Stars

373

Forks

51

Language

Python

License

Apache-2.0

Last pushed

Nov 21, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/hellohaptik/multi-task-NLP"

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