Edge 301: Retrieval-Augmented Language Models Methods
Was this email forwarded to you? Sign up here Edge 301: Retrieval-Augmented Language Models MethodsThe ideas for decoupling model knowledge from language generation.In this Issue:
💡 ML Concept of the Day: Retrieval-Augmented Language ModelsAugmenting the knowledge of large language models(LLMs) is one of the most active areas of research in the foundation model space. In previous editions of this series, we discussed methods for tool augmentation that integrates LLMs with consumer and business applications. A complementary group of methods is what is known as retrieval-augmented LLMs which use an external knowledge graph to augment the capabilities of an LLM. The best known example of retrieval-augmented LLMs are the LLM integration with search engines such as Bing or Google... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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