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For the previous yr, hype round generative AI has reached a fever pitch, as massive language fashions (LLMs) have dominated the information cycle. In accordance with Glasswing Ventures founder and managing accomplice Rudina Seseri, whereas beneficial, generative AI and LLMs for a lot of startups is not going to be a defensible expertise on which to construct a enterprise.
At present 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 clear up actual enterprise challenges.
Glasswing is not 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 title ChatGPT. In 2022, the agency raised an extra $158 million to additional its mission of serving to to construct and develop information and AI applied sciences. Among the many many firms that Glasswing was an early investor in are information expertise vendor ChaosSearch, function engineering firm FeatureByte and enterprise AI information vendor Causely.
“Everybody is worked up about gen AI and don’t get me flawed, we’re too,” Seseri instructed VentureBeat. “However there’s quite a bit that’s taking place with different methods.”
What the Glasswing AI Palette is all about
The Glasswing AI Palette goals to supply a typical language and framework to assist navigate the advanced and ever-evolving panorama of AI.
Seseri defined that the palette maps AI methods like transformers, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to corresponding information varieties and potential use circumstances. The device additionally hyperlinks out to Glasswing’s ongoing ‘AI Atlas’ undertaking, offering extra in-depth explanations and evaluations of various methods and the way they can be utilized in functions.
Whereas a lot of the hype within the trade focuses on generative AI and LLMs, Seseri is raring 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 could discover alternatives past API wrappers in functions of methods like CNNs, RNNs and transformer mixtures.
Picture: credit score: Glasswing Ventures
The issue with LLM wrappers? They’re indefensible
A far too widespread sample with startups at this time 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 method isn’t defensible from a enterprise perspective and organizations gained’t be capable of construct some type of aggressive moat that can allow differentiation.
The forms of firms that Glasswing is in search of and hoping to allow are these which can be utilizing algorithms, methods and architectures on the core of the product to supply an output that in any other case wouldn’t be achievable. That output must be one thing that solves an enormous drawback, whether or not it’s on the enterprise or the safety facet with huge budgets in a ‘will need to 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 of be solved,” she mentioned.