Researchers from Databricks, MIT, and DatologyAI have introduced a novel approach to data pruning using small reference models. The method involves determining high-quality subsets of large-scale text datasets to enhance language models' performance by pruning the dataset to subsets with low perplexity.
New method by Databricks, MIT, and DatologyAI utilizes small reference models to compute text sample perplexity #AI #AItechnology #artificialintelligence #Databricks #DatologyAI #llm #machinelearning #MIT https://t.co/tNrloqd3NP https://t.co/v68ApAqYRu
This AI Paper from Databricks and MIT Propose Perplexity-Based Data Pruning: Improving 3B Parameter Model Performance and Enhancing Language Models https://t.co/vbi77lUFRO #AI #DataPruning #LanguageModels #MachineLearning #AIImplementation #ai #news #llm #ml #research #ainews… https://t.co/11i13nywkT
This AI Paper from Databricks and MIT Propose Perplexity-Based Data Pruning: Improving 3B Parameter Model Performance and Enhancing Language Models https://t.co/KqfHsZGTKQ
This AI Paper from Databricks and MIT Propose Perplexity-Based Data Pruning: Improving 3B Parameter Model Performance and Enhancing Language Models Researchers from Databricks, MIT, and DatologyAI have introduced an innovative approach to data pruning using small reference… https://t.co/EGIx6NK8I2
[CL] Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models Z Ankner, C Blakeney, K Sreenivasan, M Marion... [Databricks & MIT & DatologyAI] (2024) https://t.co/8TngcEoRZW - Perplexity-based data pruning, where a dataset is pruned to subsets with low,… https://t.co/qN8kQ570Mb
[CL] Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models Z Ankner, C Blakeney, K Sreenivasan, M Marion... [Databricks & MIT & DatologyAI] (2024) https://t.co/8TngcEoRZW - The marginal contribution of a data point to a model's loss, defined as the… https://t.co/O6xZwL6Qg6
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models. https://t.co/L0Vx7EaQz0
Perplexed by Perplexity Perplexity-Based Data Pruning With Small Reference Models In this work, we investigate whether small language models can determine high-quality subsets of large-scale text datasets that improve the performance of larger language https://t.co/9hejOpCiVJ