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What Is Retrieval-Augmented Generation?

Hacker News

The broad potential is why companies including AWS , IBM , Glean , Google, Microsoft, NVIDIA, Oracle and Pinecone are adopting RAG. IBM’s Watson became a TV celebrity in 2011 when it handily beat two human champions on the Jeopardy! Today, LLMs are taking question-answering systems to a whole new level.

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From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker

AWS Machine Learning Blog

Founded in 2011, Talent.com is one of the world’s largest sources of employment. The system is developed by a team of dedicated applied machine learning (ML) scientists, ML engineers, and subject matter experts in collaboration between AWS and Talent.com. The recommendation system has driven an 8.6%

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Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart

AWS Machine Learning Blog

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). Managed Spot Training is supported in all AWS Regions where Amazon SageMaker is currently available.