Generative AI empowers DevOps teams to eliminate tedious repetition, strengthen automation, and condense complex workflows into simple conversational actions.
An overview of training datasets which can subsequently be enriched through data annotation and labeling for further use as artificial intelligence (AI) training data.
Heroku has eliminated their free plans, so I’m migrating to Render for my prototype products and services. Let’s see how easy it is to convert to Render PaaS.
Gain understanding about event sourcing and why it’s gaining popularity. We will also discuss the question: Is event sourcing going to outgrow databases?
There's been a lot of buzz about fine-grained access control in the past several years. Here's an overview of the key ideas and best practices that have emerged.
This article includes a series of video tutorials about Apache Kafka, including an introduction, fundamentals, architecture, concepts, features, and more.
In this article, readers will learn about lessons I learned from picking a Java-based driver for Amazon ElastiCache for Redis with visuals and helpful code.
When training an AI model, 80% of the work is data preparation (gathering, cleaning, and preprocessing the data), while the last 20% is reserved for model selection, training, tuning, and evaluation. Review these 7 common DL and ML mistakes and limitations to keep your models fresh and optimized for your research.