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Language:
English
Channel:
IBM Technology
Speaker:
Marina Danilevsky
Platform:
Youtube
Host:
IBM Technology
Media Title :
What is Retrieval-Augmented Generation (RAG)?
Short Description:
IBM Senior Research Scientist Marina Danilevsky discusses Retrieval-Augmented Generation (RAG), a method improving large language models' accuracy and relevance by integrating current, reliable facts and ensuring transparent sourcing.
Abstract
In this educational video, Marina Danilevsky, a Senior Research Scientist at IBM Research, introduces the framework of Retrieval-Augmented Generation (RAG) as a solution to the limitations of large language models (LLMs). She discusses how RAG works by combining the generative capabilities of LLMs with a retrieval component that sources information from a content store, ensuring the model's responses are both accurate and current. The video highlights the importance of RAG in addressing common issues with LLMs such as outdated information and lack of credible sources, ultimately leading to more reliable and trustworthy AI-generated content.
Key Words:
Retrieval-Augmented Generation, LLM, Trustworthy AI
Content Type:
Training
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