In the realm of big data analytics, the use of Large Language Models (LLMs) provides a unique opportunity to create and develop additional insights.
Open-source LLMs offer a higher degree of flexibility and customization but require additional technical investment to manage the deployment infrastructure.
Commercial LLM products bring their own set of challenges, including cost, customization limitations, and potential data security concerns.
Google introduced Gemini, a new set of multimodal models designed to 'operate across and combine different types of information.' Within Google Cloud, the Gemini API allows for integrating a fixed version of a pre-trained LLM into your cloud environment for inference.
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