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How Embedding Fine-Tuning Works: In-Batch Negatives and InfoNCE Experimental Results Experiment 1: Legal Citation Retrieval (LegalBench) Experiment 2: Clinical Trial Matching (TREC Clinical Trials) Experiment 3: EU Case-Law Citation Retrieval (LegalPincite) Code Example: Train on Your Private Data What Else We Found When Fine-tuning Didn't Move The Needle Getting Started Three Fireworks Training Modes: Flexibility vs. Efficiency Interested in Fireworks Training? Table of Contents TL;DR Retrieval-augmented generation (RAG), semantic search, reranking, recommendation, intention classification, deduplication, clustering — an enormous share of production AI boils down to one primitive: turning text into a vector so that related things land close together and unrelated things land far apart. 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