BERT

Large language models grew out of linguistics — so why aren't linguists in the room where they're built?

Encoder models pull over a billion downloads a month. Decoder models pull 397 million. The AI conversation and the download counter are describing ...

No generation, no parsing — just label scores in a single pass. How to build a small encoder classifier that actually works.

A working AI podcast pipeline has one quiet failure: the tagging. Here's how constrained decoding and a stable taxonomy fix it.

Punctuation, casing, ITN, disfluency — the four-job layer between raw ASR output and text you can actually read.

A new class of model skips text generation entirely and returns calibrated probabilities in one forward pass. Here's what that changes.

Daniel wants a classifier that spots Hebrew written in Latin letters — and it turns out nobody's built one.

Your TTS reads Hebrew words with English phonetics. Here's why — and why the obvious fix doesn't work yet.

Your ASR pipeline is fine until someone dictates "three point two" and gets "three point two" spelled out. Here's how inverse text normalization ac...

DeepSeek shipped a whole new architecture and called it a point release. Here's what actually changed inside the model.