ASP.NET Community Standup: Smart Components
Вставка
- Опубліковано 30 лип 2024
- .NET Smart Components are a set of experimental AI-powered UI controls for Blazor, MVC, and Razor Pages. Join Steve and Dan to see how you can add AI features to your applications with Smart Paste, Smart TextArea, and Smart ComboBox.
⌚ Chapters:
00:00 Countdown
03:07 Welcome to ASP.NET Community Standup
03:50 Community Links
08:05 .NET Smart Components
Smart Component = End-to-end AI-powered feature you can drop into your existing application
08:52 AI for Apps
10:59 Try Smart Components
aka.ms/smartcomponents
11:22 Demo - Smart Paste Mail
15:29 Demo - Smart Paste Bug
22:13 Demo - Smart Text Area
38:21 Demo - Smart Combobox
47:50 Q&A
57:17 Switching gears to Semantic searching
58:18 Demo - Semantic Search
01:16:33 Semantic Kernel
01:17:32 Demo - Semantic Kernel
01:25:45 Get Started
01:26:47 Wrap
Links:
Community links: www.theurlist.com/aspnet-stan...
Try Smart Components: aka.ms/smartcomponents
Featuring: Steve Sanderson (@stevensanderson), Daniel Roth (@danroth27), Jon Galloway (@jongalloway)
#blazor #dotnet - Наука та технологія
Any demo by Steve is great and this is no exception.
totally agree
This is a really impressive demo from start to finish. The smart components are very useful, and the search demo makes AI more understandable, and search results more useful.
Awesome. I love how Steve makes complicated things simple enough that I can see I could use it.
Great stuff
Fantastic demo on semantics search.
Awesome presentation, so clear! Thanks
Great!, It is less intimidating working with AI :)... It will be nice if SQL Server support that local embeding comparation, and we can simply do `..WHERE(x => x.Closest(value))`
Semantic search is fckn brilliant! I Implemented with it an existing application with Steve's very clear instructions. I gather the in-memory search is for near real-time response - however scalability may be a problem with in-memory (unless you use another key -value store) especially in large datasets. Is there any plan to support it within the database itself i.e. get the embedder to do a closeness search within the primary database (where the embedding is stored aka on-disk)?
Very cool! Does it mean that ElasticSearch will die?
What is the purpose of Parameters property in smart text area?
Can you share the demo code ? That you used for local embedding? 1:12:28
Just follow the video step by step - it's very easy to implement and you will understand the process better.
@@pradeeparjuna I don't have information on how to connect to data sources other than SQLite.