A technical deep-dive into PlugMem, Microsoft Research's plugin memory system that transforms raw LLM agent interactions into reusable structured knowledge. How its three-component architecture (Structure, Retrieval, and Reasoning) outperforms task-specific memory designs.
Practical guide for Android developers to choose between on-device small models (Gemini Nano, Phi-3 Mini) and cloud LLMs: latency, privacy, cost, and battery life.
How to inject dynamic context into AI agent prompts. Techniques for providing memory, skills, and tools on-the-fly.
Understanding the role of AI Agents in modern mobile development. From theoretical foundations to practical implementation strategies using LLMs.
A developer's take on DeepSeek R1 for coding tasks. From impressive reasoning to common hallucinations. Is it ready for production code?
