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For the previous 12 months, hype round generative AI has reached a fever pitch, as giant language fashions (LLMs) have dominated the information cycle. In keeping with Glasswing Ventures founder and managing accomplice Rudina Seseri, whereas precious, generative AI when used as a shiny wrapper is not going to be defensible on which to construct a enterprise.
Immediately the early-stage enterprise capital agency launched its Glasswing AI Palette as a brand new framework to assist educate and inform startup founders concerning the broad set of applied sciences that trendy AI and machine studying (ML) encompasses and the way these instruments can resolve actual enterprise challenges.
Glasswing isn’t any stranger to the AI market, with the agency elevating $112 million in 2018 to fund AI startups in an period lengthy earlier than anybody had ever heard the identify ChatGPT. In 2022, the agency raised a further $158 million to additional its mission of serving to to construct and develop knowledge and AI applied sciences. Among the many many firms that Glasswing was an early investor in are knowledge know-how vendor ChaosSearch, characteristic engineering firm FeatureByte and enterprise AI knowledge vendor Causely.
“Everybody is happy about gen AI and don’t get me incorrect, we’re too,” Seseri informed VentureBeat. “However there’s quite a bit that’s occurring with different strategies.”
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What the Glasswing AI Palette is all about
The Glasswing AI Palette goals to supply a standard language and framework to assist navigate the advanced and ever-evolving panorama of AI.
Seseri defined that the palette maps AI strategies like transformers, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to corresponding knowledge sorts and potential use instances. The instrument additionally hyperlinks out to Glasswing’s ongoing ‘AI Atlas’ undertaking, offering extra in-depth explanations and evaluations of various strategies and the way they can be utilized in purposes.
Whereas a lot of the hype within the business focuses on generative AI and LLMs, Seseri is keen to emphasise the breadth of AI past these buzzwords. As an investor, she emphasised that Glasswing is targeted on firms delivering worth for the enterprise and safety markets.
“AI and gen AI are usually not essentially the identical factor,” she mentioned. “Startups utilizing the framework might discover alternatives past API wrappers in purposes of strategies like CNNs, RNNs and transformer combos.
Picture: credit score: Glasswing Ventures
The issue with LLM wrappers? They’re indefensible
A far too widespread sample with startups immediately is taking an present LLM and making a wrapper round it.
Seseri mentioned what the ChatGPT period has enabled is the mass consumerization of AI. Whereas that may supply productiveness advantages for organizations, in her view utilizing an LLM wrapper strategy isn’t defensible from a enterprise perspective and organizations gained’t be capable to construct some type of aggressive moat that can allow differentiation.
The forms of firms that Glasswing is on the lookout for and hoping to allow are these which are utilizing algorithms, strategies and architectures on the core of the product to supply an output that in any other case wouldn’t be achievable. That output ought to be one thing that solves an enormous drawback, whether or not it’s on the enterprise or the safety aspect with huge budgets in a ‘should have’ class.
“What we search for is actually AI native firms, the place they’re fixing issues that in any other case wouldn’t be capable to be solved,” she mentioned.