Three terms now compete for the same line in AI engineering job descriptions. Prompt engineering is the established one. Loop […]
Category: Context Engineering
Prompt Engineering vs Loop Engineering vs Graph Engineering: What Changes at Each Layer
Three terms now compete for the same line in AI engineering job descriptions. Prompt engineering is the established one. Loop […]
Meet EverOS: An Open Source Markdown-First Agent Memory Runtime With Hybrid BM25 + Vector Retrieval and Self-Evolving Skills
EverMind has released EverOS, an open-source memory runtime for AI agents. It ships under an Apache 2.0 license. It targets […]
Google Cloud Introduces Open Knowledge Format (OKF): A Vendor-Neutral Markdown Spec for Giving AI Agents Curated Context
Foundation models keep getting stronger, yet they still stall on the same thing: context. A model can write code or […]
NVIDIA AI Releases Nemotron 3 Ultra: An Open 550B Mixture-of-Experts Hybrid Mamba-Transformer for Long-Running Agents
NVIDIA has released Nemotron 3 Ultra, the largest model in its Nemotron 3 family. It targets a specific problem: long-running […]
Nous Research Proposes Lighthouse Attention: A Training-Only Selection-Based Hierarchical Attention That Delivers 1.4–1.7× Pretraining Speedup at Long Context
Training large language models on long sequences has a well-known problem: attention is expensive. The scaled dot-product attention (SDPA) at […]
A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications
In this tutorial, we implement how Memori serves as an agent-native memory infrastructure layer for building more persistent, context-aware LLM […]
Moonshot AI Releases Kimi K2.6 with Long-Horizon Coding, Agent Swarm Scaling to 300 Sub-Agents and 4,000 Coordinated Steps
Moonshot AI, the Chinese AI lab behind the Kimi assistant, today open-sourced Kimi K2.6 — a native multimodal agentic model […]
How to Build Multi-Layered LLM Safety Filters to Defend Against Adaptive, Paraphrased, and Adversarial Prompt Attacks
In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models against adaptive and paraphrased […]
Ant Group Releases Ling 2.0: A Reasoning-First MoE Language Model Series Built on the Principle that Each Activation Enhances Reasoning Capability
How do you build a language model that grows in capacity but keeps the computation for each token almost unchanged? The […]