Ever talked to a bot that paused for two seconds before every answer? That pause is not a bug in the corner, it is the whole experience. Learn how a voice agent hears, thinks and speaks, where the time goes, and why latency is a feature you design for, without the confusing AI jargon.
Transformers keep a growing KV-cache “notebook,” while Mamba compresses history into a fixed-size state. This article explains the tradeoff, how Mamba evolved from Mamba-1 to Mamba 3, and why hybrid architectures may be the practical path for long-context LLMs.
Ever wondered why a model that writes perfect SQL in a demo still ca not be trusted against a real database? Learn what a Text-to-SQL harness actually is. Routing, schema retrieval, validation gates, repair loops and read-only execution - explained with real examples and without the confusing AI jargon.
A practical look at how I built a deep learning-based Voice Activity Detection model from scratch, trained it on speech data, evaluated its performance, and made the model openly available to use and download.
Voice Activity Detection, VAD, Deep Learning, Speech Processing
Ever wondered how Siri, Alexa, or ChatGPT knows exactly when you start and stop speaking? Meet Voice Activity Detection (VAD) - the tiny AI system that listens before any smart assistant can understand you.
Ever wondered why BERT understands text so well while GPT writes like a human? 🤔 Learn the difference through simple examples, funny analogies, and real-world use cases and without the confusing AI jargon.