AI Insights Blog

Optimizing LLMs: LoRA, QLoRA, SFT, PEFT, and OPD Explained (2025 Edition)

Europe’s AI ecosystem is evolving rapidly. From the AI research hubs in Brussels and Ghent to pan-European innovation centers in Germany and France, optimizing Large Language Models (LLMs) is at the core of building cost-efficient, GDPR-compliant, and high-performance AI systems

How to Build AI Agents for Free

You can build powerful AI agents for free using open-source libraries, community platforms, and free-tier cloud services. Tools like LangGraph, LangChain, Hugging Face, and n8n make it possible to prototype and deploy agents without spending a single dollar.

Hugging Face Image-to-Video Model Integration in FastAPI and Django

rise of generative AI has already transformed how we create text, images, and even music. But in 2025, one of the fastest-growing innovations is AI-powered video generation. Instead of relying on expensive camera crews and long editing cycles, businesses and creators are now turning still images.

How to Integrate AI Models or n8n Webhooks in a Django Project

Django is one of the most popular web frameworks for Python. Its batteries-included philosophy, scalability, and security make it the default choice for countless startups and enterprises. From social media platforms to banking dashboards, Django powers mission-critical applications worldwide.

How to use n8n — a comprehensive step-by-step guide

n8n is an open-source, low-code workflow automation tool that you can run locally, self-host in production (Docker, Docker-Compose, Kubernetes), or use as a hosted Cloud plan.

How Hugging Face Powers the Future of AI Agents

AI agents are rapidly becoming central to the next wave of innovation—autonomous assistants, reasoning bots, multi‑step workflows, agents that interact with tools/APIs, perform tasks inside UIs, coordinate with humans, and more.