Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

https://arxiv.org/abs/2005.11401
https://huggingface.co/transformers/master/model_doc/rag.html#tfragmodel

"My biggest-challenge open-source collaboration with Huggingface : Tensorflow’s implementation of RAG (Retrieval Augmented Generation) is now available on Huggingface master !!!

https://lnkd.in/gGVmw4X

RAG ( https://lnkd.in/gdKWqqZ ) is an AI prototype that can read articles to give answers to any questions!
With appropriate training data like ELI5 ( https://lnkd.in/gB4S4wj ) , it can even give free-form answers with reasonable argument! (inspired by Yacine’s great blog – https://lnkd.in/gaRMUtx )"

Source : https://www.linkedin.com/feed/update/urn:li:activity:6774995484793806848/

Ratthachat Chatpatanasiri (Jung) on LinkedIn: My biggest-challenge open-source collaboration with Huggingface :
My biggest-challenge open-source collaboration with Huggingface : Tensorflow's implementation of RAG (Retrieval Augmented Generation) is now available …
www.linkedin.com

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