VentureBeat December 18, 2024
Sean Michael Kerner

While large language models (LLMs) and generative AI have dominated enterprise AI conversations over the past year, there are other ways that enterprises can benefit from AI.

One alternative is large quantitative models (LQMs). These models are trained to optimize for specific objectives and parameters relevant to the industry or application, such as material properties or financial risk metrics. This is in contrast to the more general language understanding and generation tasks of LLMs. Among the leading advocates and commercial vendors of LQMs is SandboxAQ, which today announced it has raised $300 million in a new funding round. The company was originally part of Alphabet and was spun out as a separate business in 2022.

The funding is a testament...

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Topics: AI (Artificial Intelligence), Technology
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