Are you a developer who wants to use AI in their day to day coding but don’t have access to tools like GitHub Copilot, GitHub Copilot Workspace or Cloud based services like Azure OpenAI? If yes, read on and you’re going to have super powers by the end of this post.
Jun 07, 2024
5 minIf you have worked with OpenAI or any other Generative AI model aka LLMs, you would know that writing a good prompt is a very key part of how we interact with those models. However, it’s often ignored which most probably means people are not getting the most out of these super capable models.
Jun 01, 20244 minMany learners ask me how they can get access to Azure OpenAI and Generative AI since they don’t have access to an enabled subscription. I knew there are open source tools which allow people to work with these models, but I never had a use case to go and try this out.
May 28, 20244 minIn my previous posts, I introduced you to foundational concepts of Semantic Kernel, offering a glimpse into its potential. Then I showed you how to leverage plugins to communicate to LLMs, and as promised in this part we would review planners and native function plugins to show Semantic Kernel’s full potential.
May 27, 20245 minIn my previous post, I introduced you to foundational concepts of Semantic Kernel, offering a glimpse into its potential. Now, when I was learning about the what and the why, that wasn’t enough for me to fully understand the concepts and that’s why I started writing these series.
May 13, 20246 minEverybody (and I am not exaggerating) is talking about OpenAI, Large Language Models aka LLMs and that means they are using it one way or another even in their day to day lives. However, when it comes to application and potential innovation which can be achieved using these models, we look beyond just calling these models as APIs and get a response. This is where Semantic Kernel comes into the picture.
Apr 30, 20243 min
