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March 2024 Update: Although the methods in this post are still valid, the data is outdated.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These notes are outdated.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...
Building applications integrated with AI used to be much simpler. Before ChatGPT, the main idea of building AI-infused apps was divided into two steps: Machine learning engineers/data scientists...
Did you know that you can rapidly develop REST APIs using GPT Prompt Engineering? In this article, I show how you can use Azure API Management (APIM) inbound and outbound policies to create useful ...