![]() Customers can use this capability to generate content, create summaries, perform complex NLU processing, chain multiple LLM calls, and more. Generators let customers easily use foundation models, giving them full control over the prompts, including the ability to include dynamic information based on the conversation so far or the agent’s state. ![]() With user-friendly tools, including no code setup, Conversational AI on Gen App Builder lets organizations accomplish in hours or days what used to take months-all with much higher quality.Ĭonfigure AI agents’ outputs to include citations or automatically load web pages that are contextually relevant to the conversation, such as surfacing a product page after a customer asks about a certain item. To get started, organizations can simply point to their own data, including their websites, Q&A lists, manuals, an entire domain, or any other document on the web or safely stored by the organization in Google Cloud. Use the generative AI agent capability to build natural-sounding, human-like chat- and voice-bots that can answer questions accurately. With Conversational AI on Gen App Builder, allowlisted customers can: conversational manuals, in-car assistant) and more. personalized product discovery, travel planning, banking) automation of tasks (e.g., food ordering, appointment booking, e-commerce) device control (e.g. Today, we’re excited to announce that Conversational AI on Gen App Builder is generally available (GA) for allowlisted customers, or those approved for access via a request to their Google Cloud sales representatives.įollowing last month’s GA launch of Enterprise Search on Gen App Builder, today’s news makes it easy for developers - even those without ML experience - to build AI-powered chatbots and conversational experiences covering customer and employee support concierge assistance (e.g. With Generative AI App Builder (Gen App Builder), our goal has been to combine these capabilities into a single developer-friendly product that provides access to sophisticated foundation models, removes the complexity of grounding them in proprietary data, streamlines their implementation into apps, and provides enterprise-ready reliability, auditability, security, and data governance. Enterprise search apps and conversational chatbots are among the most widely-applicable generative AI use cases.
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