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Inside Small LLM Coding Agents: Sub-8B Architecture
How 4–8B parameter models close the gap with GPT-4 on code tasks: the retrieval, fine-tuning, and inference architecture that makes small models competitive at 10x lower cost.
Inside Google's A2A Protocol: Agent Discovery and Delegation
Google's A2A protocol defines how AI agents discover each other and delegate tasks over HTTP. Full architecture walkthrough: Agent Cards, task state machine, SSE streaming, and key design tradeoffs.
Inside QLoRA: How 4-Bit Fine-Tuning Fits LLMs on One GPU
QLoRA fine-tunes 65B-parameter LLMs on a single 48GB GPU using NF4 quantization, double quantization, and paged optimizers. Deep-dive on each technique and its production trade-offs.