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Local AI capabilities are advancing rapidly, allowing powerful language models to run directly on personal computers. This tutorial guides users through setting up Qwen 3 models with Ollama for local AI tasks. It covers installing tools, building a RAG system for document querying, and creating basic AI agents - all without relying on cloud services. The guide emphasizes privacy, cost savings, and offline...

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Plexe – ML Models from a Prompt

Plexe is an innovative AI-powered system that allows users to create machine learning models using natural language descriptions. The platform employs a multi-agent architecture to analyze requirements, plan solutions, generate...

Function calling using LLMs

AI agents with function calling can interpret user intent and interact with external tools. A shopping agent example shows how this analyzes natural language to select and execute actions like product searches. The implementation...

The New Shadow IT: LLMs in the Wild

LLMs are becoming shadow IT in many organizations, with developers integrating them into workflows without approval. This trend introduces risks like data leaks and invisible dependencies. Companies are starting to detect and...

Step-by-step Guide to Fine-tune Qwen3

Alibaba's Qwen 3 language model can now be fine-tuned using Unsloth. The tutorial demonstrates how to load the model, prepare datasets, and train it using LoRA technique. The process includes formatting data for reasoning and...