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Kristi HinesMeta has developed a novel approach called "Self-Taught Evaluators" that improves language model evaluation without using any human-annotated data. Key highlights: • Iterative self-improvement scheme using only synthetic training data • Boosts Llama3-70B-Instruct from 75.4… https://t.co/YpUHzimjFQ https://t.co/sG5V1HX80P
AI-ML-UPDATESMeta presents Self-Taught Evaluators: A New AI Approach that Aims to Improve Evaluators without Human Annotations and Outperforms Commonly Used LLM Judges Such as GPT-4 https://t.co/9X8uteaSjK
Vlad Ruso PhDMeta presents Self-Taught Evaluators: A New AI Approach that Aims to Improve Evaluators without Human Annotations and Outperforms Commonly Used LLM Judges Such as GPT-4 https://t.co/IRZjj0gYMR #NLP #ArtificialIntelligence #SelfTaughtEvaluator #AIIntegration #AutomatedEvaluati… https://t.co/I8zp9RhUwX
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