Stories, experiments, research and deep‑dives into the world of artificial intelligence
Your RTX 4090 just became a 70B-model machine. Intel's AutoRound makes it possible — and this guide shows exactly how to quantize, export to…
Many teams eagerly wire up a multi-agent framework to automate their workflows and point it at a default US-based API, only to later realize…
Low-code AI orchestration platforms like n8n, Flowise, and Langflow have made it incredibly easy to build complex AI agents. However, for European companies dealing…
Building Retrieval-Augmented Generation (RAG) applications on sensitive documents requires strict control over where data flows. By combining a private vector database for embeddings with…
If your agency wants to offer agentic services in healthcare without building from scratch, n8n is the fastest path: a visual orchestrator with a…
If you ship LLMs and agents into real workflows, you’ve already seen it: the model sounds confident, but dates are wrong, references are made…
Replacing OpenAI with a European, GDPR-compliant inference provider does not require rewriting your application because we provide an OpenAI-compatible endpoint, you only need to…
DFlash is a new block-diffusion based speculative decoding technique that speeds up large language model (LLM) inference by predicting multiple tokens in parallel. Unlike…
This tutorial provides a complete guide to implementing the Context Engineering framework for AI agents: the architecture presented is optimized to prevent context rot, reduce execution…
Choosing between MiniMax and DeepSeek is not a single decision — it depends on which size tier you are operating in. This article organizes…
DFlash is an effective speculative decoding algorithm designed to accelerate Large Language Model (LLM) inference without altering the core weights of your main verifier…
Most multi‑agent systems in production still “just pass prompts around”, which is exactly what breaks as soon as you add enterprise clients, ticket data,…