Model Distillation: Why a 7B Model Beats a Frontier Model
The fastest way to slash latency is right-sizing models for production classification.
Tag: Latency
Semantic Caching at Scale: Vector Embeddings for 5x Latency Reduction
Moving beyond exact-match caching for repetitive zero-shot inference workloads. Learn how to architect semantic caching to slash latency and compute costs.
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.
TTFT (Time To First Token): Measuring Inference Correctly
TTFT reveals the real bottleneck in LLM inference. Learn why Time To First Token matters more than average latency, and how to separate prefill vs decode.
Vision Transformer (ViT) Latency
Why Patch Size fundamentally dictates your cloud throughput entirely independently of actual parameter count when deploying Vision Transformers in production.
How to Use Silero VAD: Real-Time Voice Activity Detection in Python
How to use Silero VAD for real-time voice activity detection: build a Python audio pipeline with `from silero_vad import load_silero_vad`, endpointing, and barge-in handling.