Tag: synthetic data generation
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Efficient Data Selection for Multimodal Models with OST
Discover OST, a novel incremental optimization method that boosts multimodal model training efficiency while cutting costs and improving performance.
Real vs Synthetic Priors in Tabular Foundation Models
Explore how real and synthetic priors impact tabular foundation models, revealing key differences and effects on model performance.
LLM-Based PII Annotation in HTTP Traffic Without Labels
Discover how LLMs enable taxonomy-agnostic PII annotation in HTTP traffic, overcoming labeled data scarcity for better privacy audits.
Iterative Finetuning in AI: Stability and Trait Amplification
Explore how iterative finetuning impacts AI model behavior, revealing mostly stable traits with rare amplification under specific training methods.
Evaluating Small Language Models for Multi-Turn Customer QA
Explore how small language models perform in context-aware, multi-turn customer-service QA compared to large models using synthetic data.