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Articles tagged with #llms
This article will focus only defining the pieces of the Liquid Prompt template and how different components fit in context with the example in an earlier article. My earlier article focused on generat
In this blog post, we will explore two interesting approaches for integrating C# native functions with Semantic Kernel. Let’s assume you have a C# function called HelloUserand this function takes the
In the first article of the series, I demonstrated how to implement vector embedding for text data stored in cosmos DB. In this article, we will explore how to leverage vector embeddings through OpenAI services to create RAG-based LLM responses on th...
I wrote a couple of articles explaining the fundamental mathematical concepts of vector similarities and how vector embeddings utilizes Euclidean distance, Cosine/Dot Product and Cosine Similarities to identify phrase similarities. This article will ...
