Langboat/mengzi-retrieval-lm

An experimental implementation of the retrieval-enhanced language model

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Emerging

This project offers an experimental implementation of a retrieval-enhanced language model based on GPT-Neo. It helps machine learning engineers or researchers who want to explore more efficient and lightweight language models. You input text data for training and evaluation, and it outputs a fine-tuned, retrieval-augmented language model and its performance metrics.

No commits in the last 6 months.

Use this if you are a machine learning engineer or researcher interested in experimenting with retrieval-augmented language models to improve efficiency or performance on specific tasks.

Not ideal if you are looking for a production-ready, highly stable, or broadly compatible retrieval-enhanced language model that supports various base architectures beyond GPT-Neo.

natural-language-processing large-language-models model-optimization information-retrieval machine-learning-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

75

Forks

5

Language

Python

License

Apache-2.0

Last pushed

Dec 29, 2022

Commits (30d)

0

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