From 9aaf05eb6074534ad27799880f509b7f404ef0e5 Mon Sep 17 00:00:00 2001 From: Dirk Schnelle-Walka Date: Wed, 13 Nov 2024 16:52:18 +0100 Subject: [PATCH] issue #61 added hint on GenAI and LLMs for the in-vehicle chatbot. --- .../paArchitecture/paArchitecture-1-3.htm | 22 +++++++++++++------ 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/voice interaction drafts/paArchitecture/paArchitecture-1-3.htm b/voice interaction drafts/paArchitecture/paArchitecture-1-3.htm index 852fdcb..7e9ca70 100644 --- a/voice interaction drafts/paArchitecture/paArchitecture-1-3.htm +++ b/voice interaction drafts/paArchitecture/paArchitecture-1-3.htm @@ -24,7 +24,7 @@

Architecture and
Latest version
- Last modified: November 4, 2024 https://github.com/w3c/voiceinteraction/blob/master/voice%20interaction%20drafts/paArchitecture/paArchitecture-1-3.htm (GitHub repository)
@@ -150,10 +150,13 @@

assistants. Without this kind of interoperability, enterprise developers will need to re-implement their intelligent assistants for each major generic platform.

-

- The recent increase in the availability of Large Language Models (LLMs) has greatly improved the natural language processing capabilities of IPAs. These technical improvements can be accomodated by variations of the architecture, as described in sections 3.2.4 and 3.2.5 and shown in figures 2a, 2b and 3. -

- +

+ The recent increase in the availability of Large Language Models (LLMs) + has greatly improved the natural language processing capabilities of + IPAs. These technical improvements can be accomodated by variations of + the architecture, as described in sections 3.2.4 and 3.2.5 and shown in + figures 2a, 2b and 3. +

This document is a first step in our strategy for IPA standardization. It describes a general architecture of IPAs and explores the potential areas for standardization. It focuses on @@ -310,8 +313,13 @@

chatbot then provides her with information about the site. One aspect of the answer attracts the special attention of the user and she wants to dig deeper. She then asks the chatbot to provide her with - some more details. As she proceeds asking she spends her driving - time actively also to learn. + some more details. As she continues asking questions she is able to + spend her driving time to actively learn. +

+

+ Currently available generative AI models are ideal candidates for this + use case. They can provide the user with a corresponding conversation + thanks to the useage of LLMs.