Context engineering is the practice of designing the information and tools an AI model has access to so it can perform a task effectively. While prompt engineering focuses on crafting a single, well-worded instruction, context engineering builds a whole environment around the model—supplying the...

A Mixture-of-Experts (MoE) architecture is a type of neural network design that uses multiple specialized models - called “experts” - and dynamically selects which ones to activate for each input. Instead of having all parts of a model process every piece of data, MoE allows only a few experts to...

Internal Coherence Maximization (ICM) is a method for fine-tuning language models without needing any human-provided labels. Developed by Anthropic, it helps a model improve itself using only unlabeled data by leveraging its own ability to find the most internally consistent answers. In...