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What is multimodal AI and why should we care about it?
What is multimodal AI? Think of traditional AI systems like a one-track radio, stuck on processing a single type of data - be it text, images, or audio. Multimodal AI breaks this mold. It’s the next ...
The success of this framework lies in its construction of a high-quality dataset and its innovative use of a progressive ...
Recent years have witnessed AI evolve beyond single-mode systems to generate multiple streams of information for multiple ...
Jordan Miller discusses the evolution of the Clojure ecosystem, from Rich Hickey's initial vision tackling complexity to its current status as a mature enterprise solution. He explains key ...
OpenAI has released a new version of its text-to-video AI model, Sora, for ChatGPT Plus and Pro users, marking another step in expansion into multimodal AI technologies. The original Sora model, ...
Multimodal AI represents a fundamental shift in how financial systems process information. Rather than analyzing text, images or voice data separately, these systems create a unified intelligence ...
According to the research, finetuning is also critical to enhancing the higher-order capabilities of MLLMs. Pretraining gives ...
Recently, ByteDance's Seed team announced the launch of the Doubao image creation model Seedream 4.0. This model supports ...
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