Author Archives: Jesse Liberty
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
Deeper into RAG
In the previous post we walked through creating a RAG example, line by line. Let’s take a closer conceptual look at the steps involved in creating a RAG
Posted in Essentials
Comments Off on Deeper into RAG
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
Creating Our Python AI Project
As noted in a previous blog post, we’ll be building our project on two platforms: Python and .NET (C#). For Python, we’ll build on Colab. For now, you can use a free account. The first step is to get an … Continue reading
Mads Torgersen
Mads (Lead Designer of C#) joins me to discuss C# and AI as well as what to expect in C# 15. PodcastVideo
Posted in Essentials
Comments Off on Mads Torgersen
Distributed Computing & Docker
Joe Dluzen joins me to discuss, in depth, distributed computing and Docker. The podcast is here and the video is here.
Posted in Essentials
Comments Off on Distributed Computing & Docker
Microsoft Agent Framework – Part 0
I’ve been looking at a number of different ways to build Agents. I’ve settled on two and will be documenting what I learn as I go: The advantage of the first is that you understand the underlying mechanisms in more … Continue reading
Posted in Essentials
Comments Off on Microsoft Agent Framework – Part 0
AI: The Near Term
As promised, I’ll be posting slides and commentary from my recent user-group presentation on AI (Boston Code Camp). One of my first slides talked about the near-term evolution of AI, defined as either 1-2 years or 6 months, depending on … Continue reading
Posted in Essentials
Comments Off on AI: The Near Term
MCP In Depth
In a special videoCast, Lance McCarthy of Progress Software dives deep into MCP, not only explaining what it is for and how it works, but demonstrating, in code, how it is done. MCP (Model, Context, Protocol) is an open standard … Continue reading
Posted in Essentials
Comments Off on MCP In Depth
Get on the bus, or get run over by it
On March 28 I’m presenting on Fundamentals of AI to the Boston Code Camp. While I will cover what you need to know about the various aspects of using and creating various AI components, the key message is it is … Continue reading
Posted in AI
Comments Off on Get on the bus, or get run over by it
