Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving. Easy-to-use Speech Toolkit including ...

Based Water Quality Monitoring System for Rural India is an autonomous, low-cost early-warning solution designed to detect ...

This page describes how to choose the right configuration for serverless streaming workloads on Azure Databricks, including continuous pipelines, incremental ingestion, and managed connectors.

A comprehensive open-source reference for backend engineering HTTP, concurrency, gRPC, distributed systems, observability, and cloud-native deployment. Built from first principles.

3. 不是“装上就能用”，这 4 个配置陷阱让我在生产环境重启了 3 次 litellm 的文档强调 “drop-in replacement”，但现实很骨感。我在某电商公司的客服对话系统上线 litellm 时，经历了三次服务重启，每次原因都不一样。这些坑不是来自 litellm 本身，而是来自对“统一”背后隐含假设的误判。我把它们 ...

关键决策点（如“是否启用CPU fallback”）用预编译的TinyML模型（TFLite Micro）做实时评估：输入当前GPU显存占用率、CPU空闲核数、请求token长度、历史错误码分布，15ms内输出action ID。 这个TinyML模型只有87KB，固化在Agent二进制里，连模型加载步骤都省了。