freshqa
Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
Access data and code related to enhancing large language models with search engine support.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeData and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
freshqa has 402 stars on GitHub. It has been forked 20 times. freshqa is written mainly in Jupyter Notebook. It has been in active development since 2023. freshqa is available under the Apache-2.0 license. Its main topics are few-shot-prompting, in-context-learning, large-language-models, retrieval-augmented-generation.
What is freshqa?
Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
Is freshqa open source?
freshqa is an open-source project. It is released under the Apache-2.0 license.
Is freshqa free?
Yes. freshqa is free and open source — you can use, modify and self-host it.
What license does freshqa use?
freshqa is available under the Apache-2.0 license.
What language is freshqa written in?
freshqa is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/freshllms-freshqa.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.