AI

For the modern AI developer productivity is often tied to a physical location. You likely have a ‘Big Rig’ at home or the office—a […]

In this tutorial, we build an elastic vector database simulator that mirrors how modern RAG systems shard embeddings across distributed storage nodes. We implement […]

In the high-stakes world of AI, ‘Context Engineering’ has emerged as the latest frontier for squeezing performance out of LLMs. Industry leaders have touted […]

The generative AI race has long been a game of ‘bigger is better.’ But as the industry hits the limits of power consumption and […]

While the tech folks obsesses over the latest Llama checkpoints, a much grittier battle is being fought in the basements of data centers. As […]

In this tutorial, we implement an end-to-end Practical Byzantine Fault Tolerance (PBFT) simulator using asyncio. We model a realistic distributed network with asynchronous message […]

The development of large language models (LLMs) has been defined by the pursuit of raw scale. While increasing parameter counts into the trillions initially […]

In the competitive arena of Multi-Agent Reinforcement Learning (MARL), progress has long been bottlenecked by human intuition. For years, researchers have manually refined algorithms […]

Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models capable of handling hundreds […]

For the past year, AI devs have relied on the ReAct (Reasoning + Acting) pattern—a simple loop where an LLM thinks, picks a tool, […]