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Articles tagged with #llm
Imagine you have a Microsoft Agent Workflow that continuously processes a high-volume stream of incoming data. The data flows through multiple executors responsible for validation, summarization and d
We all know that LLM backed agents scale at on demand execution. They perform well when prompted, execute tasks and return results almost instantly. But not all business all problems are request-drive
This is a part 2 article of the Liquid format for Semantic Kernel Prompts. In part 1 we delved into the basic building blocks of how liquid template can be organized for rich and user friendly respons
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
Prompt injection attacks are broadly categorized into two major types: 1. Natural Language Patterns These are prompt injections are written in human-like instructions that try to manipulate the model
