Meta’s AI Llama makes its way among leading companies | WhatsApp Business | Meta AI chatbot | Facebook app | Turtles AI

Meta announced that its Llama AI models are finding increasing application in corporate settings, with adoption by giants such as Goldman Sachs and AT&T for tasks such as customer service, document review, and code generation. Launched last year, Llama templates have seen a significant increase in downloads, surpassing 350 million, with a growth of 50 million downloads in just one month.

Key points:

• Meta’s Llama: Increasingly popular tool in banking and technology sectors.  
• Free and widespread: Over 350 million downloads since the release of the Llama 3 model.  
• Challenges and opportunities: Models must overcome logical and accuracy limitations.  
• Strategic adoption: Increasing use by large global companies.

 Meta also noted an increase in usage via cloud platforms such as Amazon Web Services and Microsoft Azure, which more than doubled between May and July 2024. This scenario comes amid growing pressure from investors to demand that technology companies demonstrate the effective adoption and ROI of their investments in AI. Mark Zuckerberg, CEO of Meta, has reiterated the importance of keeping AI models open and accessible, arguing that this could give the company an edge over competitors offering closed and proprietary solutions. However, despite their great potential, Llama models still show limitations in logical tasks and data accuracy, necessitating further evolution for broader use in business contexts. Despite these challenges, Meta highlighted the interest of several large companies, such as Japanese bank Nomura Holdings, DoorDash, and Accenture, which are experimenting with the use of Llama models, pointing to them as viable competitors to paid alternatives such as those offered by OpenAI. Zuckerberg also anticipated that future updates are planned to further improve the performance of Llama models. Meta’s strategy thus seems geared toward demonstrating the competitiveness and efficiency of its AI models in the long run, seeking to establish itself as a benchmark in the industry.

The future of Llama adoption in business contexts will depend on Meta’s ability to overcome current limitations by offering increasingly high-performance solutions aligned with market needs.