Large multimodal models (LMMs) extend large language models (LLMs) with multi-sensory skills, such as visual understanding, to achieve stronger generic intelligence. In this paper, we analyze the latest model, GPT-4V(ision), to deepen the understanding of LMMs. The analysis focuses on the intriguing tasks that GPT-4V can perform, containing test samples to probe the quality and genericity of GPT-4
It has been a few months since Retrieval Augmented Generation (RAG) was introduced as a pattern to build Large Language Model (LLM) apps. If you are unfamiliar with this pattern, I suggest you read this article first which lists out the pattern as one of the steps in building an enterprise LLM app. In short, RAG, also known as in-context or real-time learning, allows querying a corpus of data (for
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