Using embedding model from OpenAI, do some vector similarity math. Using an OpenAI embedding model hosted on Azure OpenAI, use Semantic Kernel in C# on .NET 9 to programatically (a) use API to create ...
Then to optimize over that linear model they’ll show you gradient descent, and again you’ll note, “Well, that’s just calculus!” Support vector machines? Merely convex optimization. Naive Bayes? Just ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback