How To Enhance Conversational Experiences With Generative Ai Exploring Gen App Builder
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Learn how to improve customer interactions with conversational AI using Gen App Builder. Explore informational, transactional, and generative capabilities for better chatbots and virtual agents.
- This presentation discusses enhancing conversational experiences with generative AI.
- It highlights the challenges of current chatbots and virtual agents in customer interactions.
- The session introduces informational, transactional, and generative capabilities for better customer experiences.
- It explains the timeline of large language models and generative AI development, focusing on Google's contributions.
- The talk delves into Google Cloud's products related to generative AI.
- Gen App Builder is introduced as a tool for creating conversational apps with advanced capabilities.
- It discusses how Gen App Builder simplifies FAQ-based informational chatbots.
- The concept of generative fallback responses is presented to improve customer interactions.
- The tool's capability to build conversational experiences using natural language prompts is explained.
- Gen App Builder's efficiency in handling complex conversation flows is highlighted.
This presentation by Kris Overholt, a developer advocate working with conversational AI in Google Cloud, delves into the world of conversational experiences enhanced by generative AI. It starts by addressing the current limitations and challenges posed by chatbots and virtual agents in customer interactions. The session introduces three key capabilities to create outstanding customer experiences informational, transactional, and generative capabilities.
The timeline of large language models (LLMs) and generative AI development is explored, emphasizing Google's pioneering role in these advancements. The talk highlights Google Cloud's products related to generative AI, including foundation models, enterprise search, and conversational AI.
The core focus of the presentation is Gen App Builder, a tool that empowers developers to create conversational apps with advanced capabilities. Gen App Builder simplifies the creation of FAQ-based informational chatbots by leveraging natural language models. It also introduces the concept of generative fallback responses to enhance customer interactions.
The presentation explains how Gen App Builder enables faster chatbot development by using natural language prompts. Developers can describe the task they want the chatbot to perform, and the tool handles the implementation details. It streamlines the development process by eliminating the need to deal with flows, intents, and low-level objects.
Furthermore, Gen App Builder is touted for its efficiency in handling complex conversation flows. Developers can describe conversation flows at a high level, and an LLM-based intelligence model generates and auto-completes a detailed conversation graph. This feature empowers developers to create comprehensive customer experiences more efficiently.
In summary, this presentation provides valuable insights into how generative AI, particularly through Gen App Builder, can revolutionize conversational experiences, resulting in happier customers, increased call containment rates, and overall improved customer interactions.
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