In this article, you will learn how the Model Context Protocol (MCP) standardizes the way AI applications …
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Context Window Management for Long-Running Agents: Strategies and Tradeoffs
by Techaiappby Techaiapp 6 minutes readIn this article, you will learn five practical strategies for managing context windows in long-running AI agent …
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In this article, you will learn how context engineering and memory engineering solve different problems in agentic …
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Context Windows Are Not Memory: What AI Agent Developers Need to Understand
by Techaiappby Techaiapp 9 minutes readIn this article, you will learn why a large context window is not the same thing as …
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Sigmoid vs ReLU Activation Functions: The Inference Cost of Losing Geometric Context
by Techaiappby Techaiapp 16 minutes readA deep neural network can be understood as a geometric system, where each layer reshapes the input …
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Liquid AI Releases LocalCowork Powered By LFM2-24B-A2B to Execute Privacy-First Agent Workflows Locally Via Model Context Protocol (MCP)
by Techaiappby Techaiapp 3 minutes readLiquid AI has released LFM2-24B-A2B, a model optimized for local, low-latency tool dispatch, alongside LocalCowork, an open-source …
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Moonshot AI Researchers Introduce Seer: An Online Context Learning System for Fast Synchronous Reinforcement Learning RL Rollouts
by Techaiappby Techaiapp 8 minutes readHow do you keep reinforcement learning for large reasoning models from stalling on a few very long, …
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Moonshot AI Releases Kimi K2: A Trillion-Parameter MoE Model Focused on Long Context, Code, Reasoning, and Agentic Behavior
by Techaiappby Techaiapp 4 minutes readKimi K2, launched by Moonshot AI in July 2025, is a purpose-built, open-source Mixture-of-Experts (MoE) model—1 trillion total …