GenAI Intelligent Assistant

Our vision is to provide a new generation of intelligent applications, but what does it take to create an intelligent assistant for a consumer in a challenging domain like financial services using the technology that the Google Cloud Platform (GCP) makes available?

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The future of financial services

Vision and value

Large language models (LLMs) such as PaLM-2 and Gemini have delivered new capabilities for intelligent application development.

Intelligent interaction and dialogues

Using a natural language interface creates an expectation from the user that an interactive ongoing conversation with the system is possible.

Security and reliability

Using an LLM in an application has well-documented risks. A malicious user may try to take control of the LLM by using a well-crafted and unanticipated query or prompt that elicits undesirable (and expensive) behaviour.

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“Building an intelligent assistant for a complex and sensitive task such as supporting retail banking customers is possible and is greatly facilitated by the technologies provided by GCP, such as PaLM-2 and Gemini.”

Simon Thompson

Head of AI, ML & Data Science