Meta Says Its Llama Ai Models Being Used By Banks, Tech Companies

Meta’s LLAMA Artificial Intelligence (AI) Models is used by companies including Goldman Sachs and At & T For Business Functions likes like Customer Service, Document review and Computer CoDe Genment, Social media giant said in a statement on Thursday.

The Mostly Free-of-Charge llama models have ben downloaded almost 350 million time Since Meta Began Releasing Them Publicly Last Year, An Increase from the 300 Million Downloads The Company Announced when it is related the biggest version of its latest llam 3 model in late.

Usage via cloud provides like Amazon web services And microsoft Azure have also increased, more than doubling between may and July this year, meta said.

The announsement comes as meta and other tech companies Plowing Billions Into Ai Have Facted Questions from Investors About How Widespread Adoption of the Technology Appars to Be and WHAT KINDY CAT KINDY CAT KIN EXPECT For their spending.

Meta Chief Executive Mark zuckerberg Has argued that building state-on-the-art ai models and giving them away for free best positions the company to avoid Falling into a position where it is constrained by a competer ‘

“The path for llama to become the industry standard is by being consistent competivity, Efficient, and Open Generation after Generation,” Zuckerberg Wrote Last Month.

Although Large Language Models Like LLAMA has woed users with their ability to generate human-like prose on command, they continue to Struggle to Struggle with Certain Logical Tasks and ARECING FACTAUL Errors, Limiting their adoption in business contexts.

Still, Meta Pointed to a handful of Large Enterprises Dabbling with the llama models as both evidence of their utility and as an endorsement of their competition with paid alternatives, like models for Industry Leader Openai,

Other Companies it said weed ware using llama include Japanese Bank Nomura Holdings, Food Delivery Service Doordash and Professional Services Provider Accounture.

© Thomson Reuters 2024

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