Interconnectivity is becoming increasingly

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As products and services become increasingly digital and the economy becomes more data-driven, high-performance, resilient, and secure important for economic success. That’s why next-generation infrastructure must be designed and built today. No IX operator has achieved all of this yet, but some are on their way to building the IX of the future to prepare for new generations of content, products, and applications.

LLM in the Enterprise: What Developers Need to Know
30.01.2024
Experts interviewed by ComputerWeekly discuss the key aspects that enterprise developers need to consider when building, testing, and deploying business applications based on large language models ( LLMs ).

The availability of popular generative artificial intelligence (GenAI) software means that almost anyone can start using public LLMs. Gartner calls the use of these AI-enabled tools “everyday AI”—in other words, tools that complement what people already do. But because the technology is available to everyone, it’s not a differentiator for businesses.

The second area of ​​application for LLM is what Gartner calls “game-changing AI,” where the technology is used to create entirely new products and services and fundamentally change an industry.

While tools like ChatGPT have captured people's senegal mobile database and demonstrate the capabilities of public LLMs, the ultimate goal of business leaders and software development teams tasked with building enabling technologies will likely be game-changing applications.

Experts say LLMs require a completely different mindset than traditional software development, in terms of programming skills and quality assurance. The IT infrastructure is also radically different from traditional enterprise applications, and IT managers will have to balance data protection regulations with the ability to train LLMs and verify their accuracy.