Remove Clean Data Remove Demo Remove Natural Language Processing
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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning Blog

We benchmark the results with a metric used for evaluating summarization tasks in the field of natural language processing (NLP) called Recall-Oriented Understudy for Gisting Evaluation (ROUGE). Evaluating LLMs is an undervalued part of the machine learning (ML) pipeline. It is time-consuming but, at the same time, critical.

AI 135
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Text to Exam Generator (NLP) Using Machine Learning

Mlearning.ai

Photo by Joshua Hoehne on Unsplash Quick Links Demo Source code Before It Began When I started this project, I wanted to make something that I and the people around me, like teachers and friends, will use every day. I let only the word with the pos of NOUN, VERB, ADJ, and ADV to pass through the filter and continue to the next process.

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Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

Where we are right now in the field is that there’s been this kind of “demo disease,” as we call it at Contextual AI. Everybody wants to build a cool demo. Everybody wants to build a cool demo. But what folks generally underestimate, or just misunderstand, is that it’s not just generically good data.

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Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

Where we are right now in the field is that there’s been this kind of “demo disease,” as we call it at Contextual AI. Everybody wants to build a cool demo. Everybody wants to build a cool demo. But what folks generally underestimate, or just misunderstand, is that it’s not just generically good data.