A Deep Dive into the Python Code 1. Application Structure The app uses PyQt6 for the GUI, with these key components: 2. Key Functions 3. Configuration Management Settings are stored in config.json, including: 4. Error Handling & Logging I think this application demonstrates how Python can be used to build powerful monitoring tools for energy systems.
How to Use the Victron Monitoring Application
A Step-by-Step Guide to Tracking Your Energy System 1. Dashboard Overview The application has multiple tabs for different system components: 2. Setting Up Alerts You can configure alerts for: Steps: 3. Auto-Refresh & Manual Updates 4. Troubleshooting This application helps users maintain their energy systems efficiently by providing real-time insights and proactive alerts.
Victron Multiplus Monitoring Application
And How It Can Help You Keep Track of Your Energy System Why I Created This Tool I built this application because I couldn’t find a simple, free solution to monitor my Victron Multiplus system the way I wanted. The existing tools didn’t give me the real-time alerts I needed. So, I decided to make… Continue reading Victron Multiplus Monitoring Application
Gemma 3 (27B): A Local Powerhouse for Creative Exploration
The landscape of large language models (LLMs) is rapidly evolving, and the ability to run powerful models locally is becoming increasingly significant. Recently, I had the opportunity to test Google’s Gemma 3 (27B) model on a high-performance workstation, and the experience was genuinely impressive. The 27B parameter model, a substantial leap in capability, demonstrated remarkable… Continue reading Gemma 3 (27B): A Local Powerhouse for Creative Exploration
How are they build?
Imagine you’re trying to learn a new language. You wouldn’t just read a few sentences, right? You’d immerse yourself in books, articles, conversations – anything you could get your hands on. That’s essentially what LLMs do. They devour tons of text from the internet, like books, articles, and websites. The more they read, the better… Continue reading How are they build?
What are Large Language Models (LLMs)
Large language models (LLMs) represent a significant leap forward in artificial intelligence, demonstrating a remarkable ability to process and generate human language. At their core, these sophisticated systems are powered by deep learning architectures, most notably the transformer network. This architecture, drawing inspiration from the intricate workings of the human brain, allows LLMs to effectively… Continue reading What are Large Language Models (LLMs)
Calculating the performance of AI models
Calculating the performance of AI models, especially large language models (LLMs) and other generative models, is a complex task. There’s no single metric that captures everything, and the best approach depends heavily on the specific model and its intended use. Here’s a breakdown of common methods: 1. Traditional Metrics (for Classification and Regression): 2. Metrics… Continue reading Calculating the performance of AI models
A Solid Performer: My PC’s Experience with Large Language Models
Recently, I had the opportunity to test my PC’s capabilities by running ollama run deepseek-r1:32b, a large language model with 32 billion parameters. This presented a significant workload, and I was interested in observing how my system handled it. Observations on System Performance Running such a large model provides valuable insights into a system’s strengths.… Continue reading A Solid Performer: My PC’s Experience with Large Language Models
The AI Revolution: From Cloud to Desktop
AI system is a computer program designed to mimic human cognitive functions, such as learning, reasoning, problem-solving, perception, and language understanding. All these systems leverage a range of techniques, including machine learning, deep learning, and natural language processing, to achieve their objectives. Artificial intelligence (AI) has transcended the realm of science fiction and become… Continue reading The AI Revolution: From Cloud to Desktop
Which AI search engines is best to generate source code?
The “best” solution will heavily depend on several factors: Complexity of the desired code: Simpler code generation tasks might be handled efficiently by some of the AI search engines like YOU.com or Bing AI, which offer functionalities like basic code snippets or summaries. Bing AI and Google Search with Gemini are the best options. In most… Continue reading Which AI search engines is best to generate source code?