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?
The future of financial services
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
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