It has been twenty years already!
Twenty years since I started my professional career. Of course, I had some side-gigs during college and a couple of internships, but I’m not counting those. After graduating in January 2005, my first real job started on February 1st, 2005, as a software engineer at Ordina, a large consultancy company in the Netherlands.
Over the years I’ve had the privilege to work with quite a few awesome persons, work on great projects and doing stuff I always dreamed of.
Read more →It’s not something a lot of people need to do on a regular basis, but when you do, you don’t want to spend a lot of time doing it. I’m referring to the process of “create an SDK for your APIs”.
When your service is exposing endpoints for your consumers to use, it’s easy to refer them to using raw endpoints and let them figure out how to deal with it based on the Open API specifications (formerly known as Swagger) provided.
Read more →I like creating complex solutions for simple problems just as much as every other engineer. That’s why I have dozens of side-projects going on where I’m trying out stuff. During my day job, I try to provide as much value to the customer/business with the most simple, most performant and cheapest solution I can think of.
That’s where Copilot Studio comes into play.
You’ve probably read a ton of posts and articles about bring-your-own-data, RAG, finetuning LLMs, etc.
Read more →I’ve been having issues with Disqus for a while now. Comments weren’t always placed under the correct post and I’ve done some extensive troubleshooting on it, invoking the Disqus API to resolve, added custom (meta) header fields on the pages. So far, I haven’t been able to fix it on all posts so have been looking for another system to facilitate adding comments to the posts.
This blog is a static website, created via Hugo, so no databases, only Markdown.
Read more →The current large language models, like GPT-4, GPT-4 Turbo and GPT-4o are great when you need some output generated based on data you feed in the prompt. Even the small language models, like Phi-3, are doing a great job at this. However, these models often don’t know a lot about the data within your company. Because of this, they can’t do a good job at answering questions that required data from your organization.
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