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Reading: Adobe Foundry desires to rebuild Firefly in your model — not simply tweak it
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NEW YORK DAWN™ > Blog > Technology > Adobe Foundry desires to rebuild Firefly in your model — not simply tweak it
Adobe Foundry desires to rebuild Firefly in your model — not simply tweak it
Technology

Adobe Foundry desires to rebuild Firefly in your model — not simply tweak it

Last updated: October 20, 2025 3:40 pm
Editorial Board Published October 20, 2025
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Hoping to draw extra enterprise groups to its ecosystem, Adobe launched a brand new mannequin customization service known as Adobe AI Foundry, which might create bespoke variations of its flagship AI mannequin, Firefly.

Adobe AI Foundry will work with enterprise prospects to rearchitect and retrain Firefly fashions particular to the shopper. AI Foundry model fashions are completely different from customized Firefly fashions in that Foundry fashions perceive a number of ideas in comparison with customized fashions with solely a single idea. These fashions may even be multimodal, providing a wider use case than customized Firefly fashions, which might solely ingest and reply with photos. 

Adobe AI Foundry fashions, with Firefly at its base, will know an organization’s model tone, picture and video type, services and all its IP. The fashions will generate content material based mostly on this data for any use case the corporate desires. 

Hannah Elsakr, vp, GenAI New Enterprise Ventures at Adobe, informed VentureBeat that the concept to arrange AI Foundry got here as a result of enterprise prospects wished extra subtle customized variations of Firefly. However with how advanced the wants of enterprises are, Adobe shall be doing the rearchitecting moderately than handing the reins over to prospects. 

“We will retrain our own Firefly commercially safe models with the enterprise IP. We keep that IP separate. We never take that back into the base model, and the enterprise itself owns that output,” Elsakr mentioned. 

Adobe will deploy the Foundry model of Firefly by its API answer, Firefly Providers. 

Elsakr likened AI Foundry to an advisory service, since Adobe may have groups working immediately with enterprise prospects to retrain the mannequin. 

Deep tuning

Elsakr refers to Foundry as a deep tuning technique as a result of it goes additional than merely fine-tuning a mannequin.

“The way we think about it, maybe more layman's terms, is that we're surgically reopening the Firefly-based models,” Elsakr mentioned. “So you get the benefit of all the world's knowledge from our image model or a video model. We're going back in time and are bringing in the IP from the enterprise, like a brand. It could be footage from a shot style, whatever they have a license to contribute. We then retrain. We call this continuous pre-training, where we overweigh the model to dial some things differently. So we're literally retraining our base model, and that's why we call it deep tuning instead of fine-tuning.”

A part of the coaching pipeline entails Adobe’s embedded groups working with the corporate to establish the info they would wish. Then the info is securely transferred and ingested earlier than being tagged. It’s fed to the bottom mannequin, after which Adobe begins a pre-training mannequin run. 

Elsakr maintains the Foundry variations of Firefly is not going to be small or distilled fashions. Usually, the extra knowledge from corporations expands the parameters of Firefly.

Two early prospects of Adobe AI Foundry are House Depot and Walt Disney Imagineering, the analysis and improvement arm of Disney for its theme parks. 

“We are always exploring innovative ways to enhance our customer experience and streamline our creative workflows. Adobe’s AI Foundry represents an exciting step forward in embracing cutting-edge technologies to deepen customer engagement and deliver impactful content across our digital channels,” mentioned Molly Battin, senior vp and chief advertising officer at The House Depot.

Extra customization

Enterprises typically flip to fine-tuning and mannequin customization to deliver massive language fashions with their huge exterior information nearer to their firm’s wants. Nice-tuning additionally permits enterprise customers to make the most of fashions solely within the context of their group’s knowledge, so the mannequin doesn’t reply with textual content wholly unrelated to the enterprise.

Most organizations, nonetheless, do the fine-tuning themselves. They hook up with the mannequin’s API and start retraining it to reply based mostly on their floor fact or their preferences. A number of strategies for fine-tuning exist, together with some that may be carried out with only a immediate. Different mannequin suppliers additionally attempt to make it simpler for his or her prospects to fine-tune fashions, resembling OpenAI with its o4-mini reasoning mannequin. 

Elsakr mentioned she expects some corporations may have three variations of Firefly: the Foundry model for many tasks, a customized Firefly for particular single-concept use circumstances, and the bottom Firefly as a result of some groups need a mannequin much less encumbered by company information. 

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