Macro 4: Our Open DevOps Journey (Part 1)
In the first of three blogs, Michelle Harris explains how Macro 4 has implemented Open DevOps for its mainframe solutions
AI agents, the next step in the evolution of GenAI
In this blog, Phil D'Souza discusses the emergence of AI agents capable of tackling more complex tasks and problems.
Three approaches to unlocking the potential of GenAI
In this blog, find out how to get more from generative AI by integrating additional tools and resources into your LLM.
What is the flow of processes for building a Generative AI application?
In this blog, read about the steps you need to incorporate into your GenAI application process.
Fine-tuning vs prompt engineering: how to customize your AI LLM
Find out about the differences between fine-tuning and prompt engineering in this blog, and how they can be used to customize an AI large language model (LLM).
A journey through IBM's Mainframe Skills Depot
In this blog Carl McGuire gives his verdict on a selection of resources in IBM's Mainframe Skills Depot.
A look into the evolution of session management as the mainframe turns 60
In this blog by Michelle Harris, find out how Tubes mainframe session manager has kept pace with the developments in mainframe technology.
Let's talk about IBM's Granite models for GenAI
Discover why IBM's Granite GenAI models stand out from the crowd in this blog.
Generative AI makes its entry into elite football thanks to IBM watsonx
Find out how Sevilla FC is using generative AI to support its player recruitment.
My experience with IBM's zXplore learning platform
Henri Roberts discusses how IBM's zXplore helped him to learn mainframe basics in this blog during his placement at Macro 4.