#classification

Use embeddings to classify text data from fintech sales calls when quality matters more than shaving...

Short answer: for extracting fields from media supplier invoices, use chat completions with a...

Short answer: use a closed-set LLM classifier in the Node.js handoff between invoice extraction and...

TL;DR: Routing, triage, moderation and approval prompts pick an answer from a list you wrote in...

91.9%. 89.6%. 78.0%. Those were the primary-class accuracies of a typed-decision API, a 35B...

Jev returns probabilities instead of text, at $0.042 per million input tokens. Why that fits my ticket triage bot better than a chat model, and why th

In module 3 of Machine Learning for Classification, I learned how to: 🔷 Train and use logistic...

A local-Qwen demonstration can reproduce Jev's visible closed-choice probability interface, but it does not evaluate the specialized model's claimed decision quality, calibration, or parallel serving.

Many LLM workloads are classification tasks. This can get expensive, and I believe it is going to...

Classification or Regression? That simple decision can completely change which algorithms make sense...

Treating classification and establishment validation as separate systems creates a gap exactly where...

Short answer: replace separate provider clients with one scoped classification API key and a strict...