Iโm very excited to have another guest writer on my blog: OpenAI Deep Research! I didnโt write this post. I heavily relied on OpenAIโs Deep Research. I did review, clean up, and modified a little, but this is a guest post from ChatGPT ;) My prompt was: Write a comprehensive blog article, following my style,... Continue Reading →
Rise of the Agent Director
In my last post, Where have all the Engineers gone?, I wrestled with some tough questions we're facing today, in the age of AI-powered engineering. I can't just leave it there... Just as the rise of automation and CI/CD pipelines reshaped operations teams by forcing traditional sysadmins to upskill into DevOps engineers or risk obsolescence, weโre... Continue Reading →
Context Switching and LLMs โ A Cognitive Parallel
Photo by Mike van den Bos on Unsplash We've all been there: managing many moving pieces in our heads and then, BLAM, Slack dings, weโve lost our perfect mental model faster than closing an unsaved file. Working with LLM agents has upped the ante in terms of what we have to keep in context in... Continue Reading →
When a Prompt Isnโt Enough: Rethinking Your Approach to AI
I've spent considerable time crafting prompts for numerous professional and personal tasks and projects: knowledge retrieval, research, productivity, writing, gaming, and media. Over time, I've developed my preferred prompt-writing style. Iโve learned a few tips along the way, and expect to learn more soon. How do we write the best prompts? Keep it simple. Before... Continue Reading →
Proposing ‘h11n’: A New Buzzword for an AI Hallucination
I don't know who gets to pick industry buzzwords, abbreviations, and the like, but I'd like to propose h11n for a short form of an AI hallucination. I swear I gave the LLM the right data but it h11n anyway! My prompt is killing me, it keeps h11n on this one question... That's all, let... Continue Reading →
Leveraging Vision in Chat for Improved User Experience
In my other post/notebook, Using GPT Vision in RAG, we use vision to help enrich our content during ingestion, prior to chat. By using vision, we are able to create robust descriptions of our complex slides that contain charts and graphs, and bring some amazing value to our end users. In this post, we're going to... Continue Reading →
Using GPT Vision in RAG
This post is created off of a Jupyter notebook in Github, which you can access here. I copied all the content for this blog post. I've adapted this a little to read easier and include no code, just the good tid bits. We're going to explore using OpenAI's GPT Vision with 4o model to gather... Continue Reading →
Exploring OpenAI’s New Reasoning Model: ChatGPT o1
Just a week ago, OpenAI released o1, their new reasoning model! Have you tried it? I've played around with it and was having a hard time coming up with something to ask it to see its power. I found something that I was really impressed with. Before I get there, what is this thing called... Continue Reading →
Upgrading to OpenAI’s Chat GPT-4o and 4o mini
OpenAI released ChatGPT-4o, boasting speed, affordability, and intelligence. Before migrating, consider how the new model affects code, features, and limits, such as token count and response limits.
Python Reference for JavaScript Developers
"a python that has keys of a keyboard on it and hands typing on the keys, anime" DALL-E I've known python for quite some time, but rarely use it. As clients are moving more and more into using OpenAI, some are preferring to leverage python over Java or JavaScript. As a seasoned JavaScript developer, I... Continue Reading →
