Source link : https://tech365.info/reserving-coms-agent-technique-disciplined-modular-and-already-delivering-2x-accuracy/
When many enterprises weren’t even interested by agentic behaviors or infrastructures, Reserving.com had already “stumbled” into them with its homegrown conversational advice system.
This early experimentation has allowed the corporate to take a step again and keep away from getting swept up within the frantic AI agent hype. As a substitute, it’s taking a disciplined, layered, modular strategy to mannequin growth: small, travel-specific fashions for affordable, quick inference; bigger giant language fashions (LLMs) for reasoning and understanding; and domain-tuned evaluations constructed in-house when precision is essential.
With this hybrid technique — mixed with selective collaboration with OpenAI — Reserving.com has seen accuracy double throughout key retrieval, rating and customer-interaction duties.
As Pranav Pathak, Reserving.com’s AI product growth lead, posed to VentureBeat in a brand new podcast: “Do you build it very, very specialized and bespoke and then have an army of a hundred agents? Or do you keep it general enough and have five agents that are good at generalized tasks, but then you have to orchestrate a lot around them? That’s a balance that I think we’re still trying to figure out, as is the rest of the industry.”
Take a look at the brand new Past the Pilot podcast right here, and proceed studying for highlights.
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Author : tech365
Publish date : 2025-12-08 17:42:00
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