Adept Has Changed the Multimodal Game with Fuyu

Adept Has Changed the Multimodal Game with Fuyu.


Author(s): Ignacio de Gregorio

Originally published on Towards AI.

An Impressive Little Innovator
Source: Author with DALL-E3

Give me a better mission statement for a company than the one I’m about to show you:

A foundation model that can use every software tool, API, and website that exists, on command.

In other words, a software product that can do anything you ask it to.


Now, they have shown us a sneak peek of what they are building with Fuyu, a multimodal language model that, despite being very small in comparison to standard state-of-the-art models, shows some very impressive capabilities.

Also, Fuyu comes with an unexpected surprise that breaks the current establishment for multimodality and shifts our understanding of… Read the full blog for free on Medium.

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Published via Towards AI


AI Applications

One AI application for businesses facing the choice between open-source and proprietary models to deploy generative AI is natural language processing (NLP) for customer service or support chatbots. Businesses can utilize generative AI models to develop chatbots that can understand and respond to customer queries in a more human-like manner. The choice between open-source and proprietary models can impact the accuracy, scalability, and customization capabilities of the NLP models deployed in these chatbots.

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Furthermore, businesses can leverage generative AI for content generation, such as automated text summarization, language translation, and creative writing. The choice between open-source and proprietary models can influence the linguistic fluency, coherence, and originality of the generated content.

In each of these applications, the decision between open-source and proprietary models for generative AI deployment can significantly impact the performance, interpretability, and ethical considerations of the AI systems utilized by businesses.