issue #61 added hint on GenAI and LLMs for the in-vehicle chatbot.

w3c · Nov 13, 2024 · 9aaf05e · 9aaf05e
1 parent a756b79
commit 9aaf05e
Showing 1 changed file with 15 additions and 7 deletions.
diff --git a/voice interaction drafts/paArchitecture/paArchitecture-1-3.htm b/voice interaction drafts/paArchitecture/paArchitecture-1-3.htm
@@ -24,7 +24,7 @@ <h2 property="bibo:subtitle" id="subtitle">Architecture and
         <dl>
             <dt>Latest version</dt>
             <dd>
-                Last modified: November 4, 2024 <a
+                Last modified: November 13, 2024 <a
                     href="https://github.com/w3c/voiceinteraction/blob/master/voice%20interaction%20drafts/paArchitecture/paArchitecture-1-3.htm">https://github.com/w3c/voiceinteraction/blob/master/voice%20interaction%20drafts/paArchitecture/paArchitecture-1-3.htm</a>
                 (GitHub repository)
             </dd>
@@ -150,10 +150,13 @@ <h2 id="introduction">
         assistants. Without this kind of interoperability, enterprise
         developers will need to re-implement their intelligent
         assistants for each major generic platform.</p>
-		<p>
-		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. 
-		</p>
-
+    <p>
+        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.
+    </p>
     <p>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 @@ <h4>
         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.
+    </p>
+    <p>
+        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.
     </p>
 
     <h3>