VisualVM

VisualVM is a powerful tool designed for monitoring, profiling, and troubleshooting Java applications. It provides developers with a comprehensive view of application performance by visualizing key metrics such as CPU load, memory usage, and active threads. With features like heap dumps and CPU profiling, VisualVM enables users to identify performance bottlenecks and optimize their code effectively. This utility is particularly beneficial for Java developers seeking to enhance application responsiveness and resource management. By leveraging VisualVM, developers can ensure their applications run efficiently and meet performance expectations.

How to Identify Your Code Bottlenecks Using VisualVM

Level Up Coding

With the growth of Java applications, their performance hinges on responsiveness, memory, and CPU utilization. Addressing such bottlenecks is critical in developing efficient applications and one of t...

VisualVM: Introduction to profiling with Java 21

Javarevisited

After downloading the VisualVM version, check if it is correctly installed in your local environment. If necessary, use VisualVM: Select Local VisualVM Installation option to show VSCode the correct p...

Libsvm GUI

Scikit-learn Examples

Libsvm GUI A simple graphical frontend for Libsvm mainly intended for didactic purposes. You can create data points by point and click and visualize the decision region induced by different kernels an...

An Introduction to VLMs: The Future of Computer Vision Models

Towards Data Science

Building a 28% more accurate multimodal image search engine with VLMs. Until recently, AI models were narrow in scope and limited to understanding either language or specific images, but rarely both....

The Support Team — SVM

Towards Data Science

A Support Vector Machine (SVM) is a very powerful and versatile Machine Learning model. SVM can be used for classification or regression problem and outlier detection. It is one of the most popular…

How To Build ML Pipelines, Visually & Fast!

Towards AI

The TL;DR Visual Blocks for ML is an open-source, visual programming framework developed by Google. It enables you to create ML pipelines in an easy-to-use, no-code graph editor. Now you can quickly p...

Q* and LVM: LLM’s AGI Evolution

Towards AI

Q* for Advanced Reasoning and LVM for Vision AI: Pioneering Enhancements in the LLM-driven AGI Landscape Source: generated by ChatGPT 4 with the article title prompt The realm of artificial intellige...

PaliGemma: A Lightweight Open-Source VLM for Image Analysis and Understanding

Level Up Coding

PaliGemma stands out as a lightweight vision-language model (VLM) that’s freely available. It goes beyond generating simple captions for your images, offering deeper understanding through insightful a...

Running Reactive Spring Boot on GraalVM in Docker

Oracle Developers

GraalVM is an open source polyglot VM which makes it easy to mix and match different languages such as Java, Javascript and R. It has the ability (with some restrictions) to compile code to native exe...

GraalVM Native Image — Faster, Smarter, Leaner

Inside Java

Oracle DevLive Level Up - Java Developer Day With support from all the leading microservice frameworks, compatible SDKs from all of the top cloud platforms, and ease of containerization, GraalVM Nati...

Prompting with Vision Language Models

Towards Data Science

Prompting Vision Language Models Exploring techniques to prompt VLMs Vision Language Models (VLMs) represent a significant advancement in processing and understanding multimodal data by combining tex...

Visualizing the effect of hyperparameters on Support Vector Machines

Towards Data Science

The goal of this article is to visually see the effect of each hyperparameter and kernel function of a SVM to understand their effects on the models. First a brief introduction to SVMs is presented…