2 LLMs in Enterprise: Applications, Challenges, and Design Patterns
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LLMs are breaking new ground every day, transforming and reshaping how companies view AI and developing transformative applications to help them better interact with customers, make decisions, and manage operations. These advanced generative AI applications, which leverage vast amounts of data to understand and generate human-like text, are enhancing traditional business practices and opening up new possibilities for innovation.
Despite their potential, integrating LLMs into enterprise environments poses significant challenges. Issues such as data privacy, model bias, and the need for substantial computational resources must be measured and planned carefully.
Successfully implementing LLMs requires businesses to develop strategies that align with their specific needs and constraints. This involves selecting the right models, ensuring data quality, and...
