LLMs such as OpenAI’s GPT, Anthropic’s Claude, and Google’s Gemini have emerged as a powerful new form of AI with many potential applications. They are complex neural networks trained on a massive volume of text data to predict sequences of words that follow patterns. Despite the apparent simplicity of the approach, emergent behavior allows LLMs to be exceptionally capable, rivaling human intelligence in many tasks.
This brief provides guidance for insurers on best practices for architecting LLM solutions based on insights from industry experts. It is intended for technology leaders interested in building solutions using LLMs. This brief is based on ongoing Datos Insights research along with the authors’ extensive knowledge of the subject.
Clients of Datos Insights’ Life, Annuities, & Benefits and Property & Casualty services can download this report.
This brief mentions Anthropic, Google, and OpenAI.
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