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| Name | What is Retrieval-Augmented Generation (RAG)? |
| Video Uploader | Video From IBM Technology |
| Upload Date | This Video Uploaded At 23-08-2023 11:00:32 |
| Video Discription | Try RAG with watsonx → https://ibm.biz/BdMsRT Learn more about RAG→ https://ibm.biz/BdMsRt Large language models usually give great answers, but because they're limited to the training data used to create the model. Over time they can become incomplete--or worse, generate answers that are just plain wrong. One way of improving the LLM results is called "retrieval-augmented generation" or RAG. In this video, IBM Senior Research Scientist Marina Danilevsky explains the LLM/RAG framework and how this combination delivers two big advantages, namely: the model gets the most up-to-date and trustworthy facts, and you can see where the model got its info, lending more credibility to what it generates. Get started for free on IBM Cloud → https://ibm.biz/sign-up-now Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now [T-D1OfcDW1M] |
| Category | Education |
| Tags | IBM | IBM Cloud | AI | Artificial Intelligence | LLM | LLMs | Large Language Models | RAG | Retrieval Augmented Generation | Retrieval-Augmented Generation | Retriever-Augmented Generation | Foundation Models | GPT |
