Category: AI

Integrate custom tools into an AI Agent

Before learning what I discovered while integrating tools into an AI Agent, I was a bit perplexed regarding how the LLM was able to determine which tool to use and even which tools are available for use.  Well, how it works is not a mystery, it is clearly described in the code.  In this post […]

Read More →

Using Azure AI Language studio to improve RAG grounding document discovery

Azure AI Language Studio

A very critical part of implementing a Generative AI solution that utilizes Retrieval Augmented Generation (RAG) like Microsoft Copilot is the discovery of the most relevant grounding documents.  These most relevant grounding documents are then passed to the LLM for use in generating the NLP response.  For example, if you want to find out how […]

Read More →