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2024-08-16 10:13:48
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AIbase
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11.1k
Making Large Models Understand You Better: Tencent and Shanghai Jiao Tong University Join Forces to Decode the Secrets of Instruction Tuning
Tencent Youtu Lab and Shanghai Jiao Tong University released a comprehensive review focusing on dataset evaluation and selection for instruction tuning to enhance large model performance. The study aims to help large models grasp the essence of natural language processing by analyzing data quality, diversity, and importance to guide the construction of efficient and critical datasets. It highlights that data quality directly impacts tuning effect....
2024-08-07 14:14:43
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AIbase
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10.9k
Meta Launches 'Self-Taught Evaluator': NLP Model Evaluation Without Human Annotation, Outperforming Common LLMs Like GPT-4
In the field of natural language processing, large language models perform exceptionally well on complex tasks, but model evaluation heavily relies on expensive and time-consuming human-annotated data. As models advance, the utility of existing data declines, necessitating the continuous collection of new data for scalable and sustainable evaluation. The Meta FAIR research team has proposed the 'Self-Taught Evaluator' to address this issue. This innovative approach trains on synthetic data, eliminating the need for human annotation by generating contrasting synthetic preferences.