The biggest problem with most cloud migration assessments is that it focuses on VM-sizes and potential cost savings. Don’t get me wrong, this is a very important area of concern… and there are some...

Fifteen years ago, I embarked on my Agile journey when I received my Scrum Master certification. Back then, I was one of three developers in a budding startup, where self-management was not just a ...

One of the things that I love about GitHub is that it’s easy to find working code for areas that I want to learn. For OpenAI, it has become a great source of working GPT-enabled applications. This ...

The popularization of OpenAI’s ChatGPT has put the world in a rapid pace of innovations. One of which is the rapid advancements of SDKs such as LangChain and Semantic Kernel. To integrate OpenAI w...

In my last two posts, I shared how you could load balance multiple OpenAI instances using Azure API Management and using Azure Application Gateway. The reality of enterprise organization requiremen...

March 2024 Update: This post shares one out of the five ways to address Azure OpenAI’s Tokens per Minute (TPM) limitations. To learn all five approaches, check out my latest post. In my previo...

March 2024 Update: Although the methods in this post are still valid, the data is outdated. For the latest, please go here. As with any service, Azure OpenAI has service quotas and limits, dep...

This post concludes the my series of notes as I learn how to integrate LLMs like OpenAI in enterprise applications. Intro and Architecture Development with Semantic Kernel Develop...

In my last two posts, I wrote about my high-level thoughts on infusing OpenAI with enterprise applications. Then I explored Semantic Kernel as the lightweight SDK for developing the Orchestrator Se...

These notes are outdated. Please find my latest learning notes here. These notes were written during version dotnet-0.13. A lot a has changed since then. I am keeping these notes for my personal...