- Dialogflow | Google Cloud
- Dialogflow는 자연어 이해와 Google AI를 사용하여 챗봇, 음성 봇, 가상 에이전트를 개발하기 위한 포괄적인 플랫폼입니다.
[Developing AI Applications Integrated with Enterprise LLMs]
Enterprises interested in developing AI applications integrated with LLMs already have representative services or apps in place. They want to enhance the functionality of these existing services or apps by incorporating AI services from LLM providers. The ultimate goal of these enterprises is to acquire more customers or make it easier for existing customers to access and utilize their services through AI services.
The UX of LLM AI services is chat-based. Enterprise services utilize chat as the primary UX for interacting with customers. However, it's not just any chat; it needs to be a chat that effectively understands the customer's intentions. It's crucial to accurately grasp the user's intent during the chat and seamlessly connect them with the services offered by the enterprise.
If the process of using the connected services is lengthy or complex, it's necessary to design the chat experience to incorporate smaller, iterative chat interactions throughout the process.
When developing the integration of enterprise services and LLM AI services:
– The UX should be chat-based.
– It's essential to understand the functionalities of the enterprise's service offerings (service pages) and map them to corresponding customer intentions and content.
– It's necessary to identify the helpful prompts that need to be provided to enable customers to effectively express their intentions and content.
– If an intention can be further broken down into smaller sub-intentions, it's important to understand the flow of these intentions.
[Google Dialogflow]
Google hasn't just become great; it's become a precise tool, pinpointing exactly what's needed.
Is Dialogflow the answer to this need?
Dialogflow is a well-named platform. It clearly identifies the need at hand.
Dialogflow is said to enable easy creation of chat UX across various environments, including web, mobile, devices, and bots. It's claimed that Dialogflow provides users with new and exciting ways to interact with products. This implies a realization that LLM AI service integration and the UI/UX of enterprise service pages will largely transition to a chat-based approach.
Since the foundation of chat is text or voice, support for these modalities is essential.
Could this be the future of search? Search engines understanding intent, then linking users to enterprise services that satisfy those intentions!
Given the continued reliance on SI in enterprise software development, it's likely that Dialogflow's functionalities will also be included in SI's list of services, rather than being solely a cloud-based offering, right?
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