In this #InfoQ video, Sam Partee explores the world of #RetrievalAugmentedGeneration and its significance for #LargeLanguageModels like OpenAI's GPT4.

With the rapid evolution of data, LLMs face the challenge of staying up-to-date and contextually relevant. By harnessing the capabilities of #VectorEmbeddings and #databases, LLMs can overcome these challenges and unlock their true potential.

Watch the video now: https://bit.ly/3LgXi6i

#AI #ML #RAG # #LLMs

Generative Search: Practical Advice for Retrieval Augmented Generation (RAG)

Sam Partee discusses Vector embeddings in LLMs, a tool capable of capturing the essence of unstructured data used by LLMs to gain access to a wealth of contextually relevant knowledge.

InfoQ