Using Spring Boot to create an AI application

Creating an AI application with Spring Boot involves integrating machine learning or AI capabilities into a Spring Boot application. For the sake of this example, I'll show you a simple Spring Boot application that uses a pre-trained machine learning model to make predictions. For simplicity, we'll use a popular Java machine-learning library called Deeplearning4j. Please... Continue Reading →

Orchestrating Efficiency: Turbonomic, Cloud FinOps, AI Cost Optimization, and Large Language Models

In the dynamic intersection of cloud computing, artificial intelligence (AI), and the advent of Large Language Models (LLMs), organizations are increasingly challenged with maximizing efficiency while harnessing the power of transformative technologies. This article explores the synergies between Turbonomic, Cloud FinOps, AI cost optimization, and the nuanced world of Large Language Models, delving into a... Continue Reading →

IBM Telum Processor: Revolutionizing AI for Real-Time Enterprise Transactions

In the era of the digital economy, the value of data is unparalleled, offering immense opportunities for extracting insights. However, the challenge lies in running deep learning models on high-volume transactional data without compromising on latency, variability, or security. IBM is poised to address this challenge head-on with its latest innovation in system and microprocessor... Continue Reading →

Unveiling the Power of Large Language Models: Transforming the Landscape of Natural Language Processing

In recent years, the development of large language models has reshaped the field of Natural Language Processing (NLP), pushing the boundaries of what computers can achieve in understanding and generating human-like text. These models, trained on massive datasets with millions or even billions of parameters, have become pivotal in various applications, revolutionizing the way we... Continue Reading →

Blog at WordPress.com.

Up ↑