Deep dive into Headroom, the open-source project (33.4k ⭐) that promises 60-95% token reduction on what you send to an LLM without losing accuracy. We test its 6 algorithms, its reversible CCR, and its proxy mode, and compare it to the rest of the ecosystem.
Why LLM hallucinations aren't bugs, but features of prediction. Discover how to build Socratic Induction loops in Kotlin to force AI agents to doubt their own logic before acting in Android systems.
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?
