LLMs are powering breakthroughs and efficiencies across industries. When choosing a model, enterprises should consider its intended application, speed, security, cost, language, and ease of use.
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Though generative AI is relatively new compared with other artificial intelligence technologies, it is already being used to support tasks ranging from vetting job applicants to diagnosing and recommending treatments for illnesses. IDC predicts that by 2028, 80% of chief information officers will rely on generative AI tools to accelerate analysis, boost decision-making, improve customer service, and more.
Companies are racing to tap the technology’s potential to boost customer satisfaction and employee productivity. To do so, they are looking to use the large language models (LLMs) best suited for powering generative AI applications, such as AI copilots and chatbots.
Understanding the diversity of LLMs
Having a wide array of LLMs to choose frommeans businesses are more likely to find the right one for their specific …