From Prompt Engineering to RAG: Optimizing Product Category Classification Systems - Part 1

How we enhanced our product classification system by incorporating Retrieval-Augmented Generation (RAG) to provide dataset-specific context, resulting in improved performance and reliability.

Understanding Response Format Limitations: Why Llama, Phi & Mistral Models Struggle in Azure AI Studio

A comprehensive exploration of Response Format compatibility issues when working with Llama, Phi, and Mistral model families in Microsoft Azure AI Studio with Semantic Kernel, and how to effectively navigate these limitations.

Using OpenAI vs Azure OpenAI with Semantic Kernel. What's the difference?

Understanding the differences between OpenAI and Azure OpenAI and how to use them with Semantic Kernel

Building a Recommendation System Using Text Embeddings and python

Learn how to create a simple recommendation system for e-commerce using vector embeddings and Gradio.

Should you use GPT-4o-mini for multimodal tasks?

A deep dive into the real costs and limitations of gpt-4o-mini for image processing tasks.

Using the Waitfor and WaitforCompletion in .NET Aspire 9

Learn how to use the new WaitFor and WaitForCompletion methods in .NET Aspire 9 to manage dependencies in your distributed applications.

Improved function calling with the Semantic Kernel

A new way to call functions using the latest Semantic Kernel SDK

Using Structured Outputs with Semantic Kernel

A Simple Guide to Structured Outputs with Semantic Kernel. Converting text responses into typed data with JSON schema and C# model classes.

Setting up the Azure OpenAI API versions in Semantic Kernel

Managing Azure OpenAI API versions in Semantic Kernel, including both new and legacy approaches.