LLaVA-Phi: The Next Generation Vision Language Assistant Powered by Phi-2
In recent years, the field of artificial intelligence has witnessed significant advancements in language models and their application to various
Read MoreIn recent years, the field of artificial intelligence has witnessed significant advancements in language models and their application to various
Read MoreMicrosoft researchers address the challenge of improving GPT-4’s ability to answer medical questions without domain-specific training. They introduce Medprompt, which employs different prompting strategies to enhance GPT-4’s performance. The goal is to achieve state-of-the-art results on all nine benchmarks in the MultiMedQA suite.
Read MoreMultimodal pre-training advancements address diverse tasks, exemplified by models like LXMERT, UNITER, VinVL, Oscar, VilBert, and VLP. Models such as
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