MinIO’s co-founder and CEO AB Periasamy was recently featured on the AI in Business Podcast where he had a rich conversation with Matthew DeMello—Senior Editor at Emerj—about AI infrastructure and object storage for enterprises.  In this blog post, we take you through an abridged version of what was discussed. Let’s get into it.  AB and Matthew

MLOps is to machine learning what DevOps is to traditional software development. Both are a set of practices and principles aimed at improving collaboration between engineering teams (the Dev or ML) and IT operations (Ops) teams. The goal is to streamline the development lifecycle, from planning and development to deployment and operations, using automation. One of the primary benefits of

If you are implementing a generative AI solution using Large Language Models (LLMs), you should consider a strategy that uses Retrieval-Augmented Generation (RAG) to build contextually aware prompts for your LLM. An important process that occurs in the preproduction pipeline of a RAG-enabled LLM is the chunking of document text so that only the most relevant sections of a document

In mid-2024, creating an AI demo that impresses and excites can be easy. Take a strong developer, some clever prompt experimentation, and a few API calls to a powerful foundation model and you can often build a bespoke AI bot in an afternoon. Add in a library like langchain or llamaindex to augment your LLM with a bit of custom