Generative AI into ANY .NET App with SemanticKernel
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Published 2024-05-31
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Hello, everybody. I'm Nick, and in this video, I will show you how to get started with adding LLMs and Generative AI into any .NET application using C# and the SemanticKernel library.
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All Comments (21)
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Ideally I would want to have a local LLM with our training material/documentation, so the users can access that
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Would be interested in follow up videos that explore interacting with data (eg via SQL) to obtain data relevant to questions asked by the user.
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It would be better if you told about running local LLM with C#
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The most fascinating feature of the semantic kernel for me was the kernel plugins that allow you to give the AI access to local function to reach the goal you specify in chat. You decorate your plugin functions with a description in plain text and the semantic kernel uses it to orchestrate function calls. This way you can access local data that is highly dynamic (local time, user's todo list, whatever) but it will also call functions to create content or control the app. That really blew my mind.
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Interesting, but costly.
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Directly exposing AI features to my customers would only make sense if it generated higher revenues from existing clients or accelerated the sales cycle (allowing me to grow a bigger customer base), but integrating AI features into the tools I write for myself to generate synthetic data, categorize and analyze server traffic and cloud costs... Yes! That I will start doing immediately!
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didn’t know about that lib. Thank you
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Would be cool to see a demo on feeding it some SQL table creation statements or some c# objects (perhaps your MovieDB example) and have it generate the code for you. Then ask it to do thinks with the code like "Add the necessary error handling".
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Nice. I've got some dotnet code that's interacting with OpenAI via their REST API - but I might convert that over to Semantic Kernel after seeing this.
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Very nice!
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Also an example of embedding documents with SK into a local model would be very interesting.
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I was expecting to see Nick discovering that "Nick: " is not in the loop, but he Ctrl+C'ed early every time.
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Thank you for the demo. Maybe you could use another LLM instead of OpenAI stuff.
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Thank you , waiting for other AI videos
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Thanks for the video. It would be interesting to see how to use RAG as well
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@Nick can we use same code when targeting OpenAI instead of AzureOpenAI ? if not, what would be the diffrence ?
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Would have been cool it is was with Llama but I dont see any good way with Dotnet?
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Is there any reason why should we use OpenAI thru Azure ? The Open AI api is also directly available. Can someone with some experience with both pls help me compare these two approaches: Pro/Con /Pricing
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hi, Nick, what is the ide you used in this video? tkx
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How would I use this to stream the response to a frontend application and get the same sort of feel where the chat bot is writing in the response like in the CLI?
