Model Distillation: Why a 7B Model Beats a Frontier Model
The fastest way to slash latency is right-sizing models for production classification.
AI Engineering
KV Cache Quantization: Fitting Larger Context Windows on Single GPUs
The bottleneck for long-context agents is memory, not compute. Learn how to implement FP8 or INT8 KV caching to double your context length and survive inference at scale.
Chunked Prefill: Solving the Noisy Neighbor Problem in Inference
When a massive prompt stalls your entire inference server, you have a noisy neighbor problem. The solution requires rethinking how we process context with Chunked Prefill.
RadixAttention in SGLang: Prefix Caching Documentation
SGLang's RadixAttention uses radix trees for KV cache optimization. How it outperforms vLLM PagedAttention for multi-turn conversations and agent workflows.
Building automated Evals: LLM-as-a-Judge for Plan Adherence
A hands-on tutorial using Google ADK and TypeScript to score agent workflows with custom eval rubrics.
· Rajat Pandit · AI EngineeringBuilding an Autonomy Dial: Safely Shipped Agentic Architecture
You don't jump blindly from full 'Human-in-the-Loop' safety to completely autonomous API execution. You engineer a dial—and you turn it up one notch at a time.