Businesses are eagerly adapting Large Language Models (LLMs) to streamline operations, improve resilience and build competitive advantage through task automation and extension. However, navigating the complexities of LLM implementation at scale poses challenges with evolving technology and many variables in enterprise implementations. To maximize LLM benefits, enterprises need not only technical expertise to construct and implement the models, but to get value from them quickly, they must adopt a realistic outlook on where these models can perform at a consistently high level against potential use cases.
Our team of data scientists recently conducted a series of in-depth experiments with LLMs aimed at deriving mature, actionable and practical insights to assist large organizations in setting and surpassing accurate expectations regarding LLMs. The insights illuminate key strengths, limitations and main resource demands of prominent models, offering guidance on their suitability for various enterprise use cases.
To unlock these insights, download our whitepaper now.
