This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

Abstract: This paper discusses the effectiveness of the Programmed Visual Contents Comparison Method (PVCC) for collaborative learning in computer programming education. Building upon our previous ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

Choosing A-Levels can feel stressful for both students and parents. Some subjects are known to be harder because they need strong maths skills, long essays, or complex problem-solving. Many families ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: In 2019, the JPEG Standardization Committee initiated JPEG AI to define the first image coding specifications, taking advantage of an end-to-end learning-based coding approach. The JPEG AI ...

CNBC put the AI threat to software companies to the test by vibe-coding a version of the tools from Monday.com. Silicon Valley insiders say the most exposed software names are the ones that "sit on ...

Goose acts as the agent that plans, iterates, and applies changes. Ollama is the local runtime that hosts the model. Qwen3-coder is the coding-focused LLM that generates results. If you've been ...

Explains vibe coding and why AI-assisted development is a key skill. Lists top free courses and resources to start learning Vibe coding. Helps beginners choose the right learning path to build ...

According to an Anthropic study, software developers learning new programming skills with AI assistance perform worse on knowledge tests than a control group without AI, without saving any time in the ...