purang2/prompting-nlp

About, prompt-based few-shot learning, Text Generation with Prompting

27
/ 100
Experimental

This project helps researchers and practitioners explore the latest advancements in natural language processing using prompt-based few-shot learning. It provides a curated list of academic papers that demonstrate how to effectively guide large language models with examples and task descriptions to achieve powerful results, even with limited training data. This is for anyone looking to quickly grasp and implement state-of-the-art NLP techniques without extensive data collection.

No commits in the last 6 months.

Use this if you are an NLP researcher or data scientist wanting to understand and apply prompt engineering for few-shot learning tasks with large language models.

Not ideal if you are looking for a ready-to-use software library or a detailed tutorial on coding specific prompt engineering solutions.

Natural Language Processing Few-Shot Learning AI Research Machine Learning Text Generation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

13

Forks

1

Language

Jupyter Notebook

License

MIT

Last pushed

May 09, 2023

Commits (30d)

0

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