Tag Archives: AI
AI Reasoning and Planning
Until very recently, it was observed that LLMs had a very hard time with complex problems. Context was lost, memory of previous steps was distorted, and so forth. This led to unreliable results (hallucinations) and, consequently, to a lack of … Continue reading
PEAS for Agent AI
A classic AI framework to define an agent’s task environment is PEAS. It stands for:
The R in RAG
In my previous post we looked at saving to the vector store. In this short post we’ll look at retrieving that information. The simple search is a good starting point and depends on writing a good prompt, but we can … Continue reading
RAG In Detail
In my previous post I walked through a RAG example but glossed over the details. In this post I’ll back up and walk through the program line by line. The key steps in RAG are
RAG – A Quick Example
In the previous blog post, we imported a few Python modules and configured our AI key, using Colab. In this blog post we’ll use Retrieval-Augmented Generation (RAG) to extend an LLM that we’ll get from OpenAI. I’ll use a number … Continue reading
Learning AI
Very excited to say that I have purchased 3-4 books in preparation for the Azure AI 900 certification from Microsoft. I will be creating another series here, distilling down what I learn, even while we keep the API series going. … Continue reading
Azure Functions & Durable Functions
Creating the Project with CoPilot As part of the API tutorials we decided we needed a Database with two tables: Book and Author. Books will join Author and there can be as many authors as we want. Rather than writing … Continue reading





































