Intel’s fastRAG for Medical Use-cases

Moshe will present Intel Labs’ fastRAG, a framework designed to facilitate the building of retrieval augmented generative pipelines. Its main goal is to make retrieval augmented generation as efficient as possible through the use of state-of-the-art and efficient retrieval and generative models. The framework includes a variety of sparse and dense retrieval models, as well as different extractive and generative information processing models. fastRAG aims to provide researchers and developers with a comprehensive tool-set for exploring and advancing the field of retrieval augmented generation.

About the speaker

Moshe Wasserblat

NLP Research Manager INTEL

Moshe Wasserblat is the NLP DL Research Lead for Intel Lab Emergent AI group. Previously, he was with NICE Systems for more than 17 years, where he founded and led the speech and text analytics research team.
He has filed more than 60 patents in the field of language technology and has several publications in international conferences and journals.



Sessions: April 2nd – 3rd 2024
Trainings: April 15th – 19th 2024


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