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2 articles

Research Technical Classification Nosible World

Two Tricks for Turning Sentence Embeddings into Clean Features

A ten-step, training-free walkthrough that turns a frozen OpenAI text embedding into clean classifications: a multiclass relevance score sorts events into local, national, and global buckets, and a contrastive binary score splits systemic from idiosyncratic risk. Verified on real warnings from NOSIBLE World, the geometry matches Google's gemini-2.5-flash while staying deterministic, auditable, and effectively free.

2026-06-1814 min read

Technical Sentiment Signals Classification

Matching GPT-5.1 at Financial Sentiment with Active Learning and Qwen3

Here's how we fine-tuned Qwen3 0.6B to beat FinBERT and match GPT-5.1 accuracy. Complete with open-source models, datasets, and training scripts. Spoiler alert: active learning is all you need.

2025-12-1227 min read

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