Nikolaos GiakoumoglouKnowledge Distillation Made EasyKnowledge Distillation (KD) is an advanced technique in machine learning aimed at transferring knowledge from a large, well-trained model…1d ago
Vincent LiuinTowards AIExploring EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies: A Brief…A Real-Time Anomaly Detection Network surpasses all the existing networksMay 8
Amit SEverything You Need To Know About Knowledge Distillation, aka Teacher-Student ModelKnowledge distillation refers to the process of transferring knowledge from a large model to a smaller one. This is vital because the…Apr 20, 20232Apr 20, 20232
Kummari VasanthiBuilding an Efficient Sentiment Analysis System for Twitter with Knowledge DistillationIn today’s digital age, analyzing sentiments on social media platforms like Twitter is crucial for businesses and researchers. However…Jun 26Jun 26
Youness MansarinTowards Data ScienceClone the Abilities of Powerful LLMs into Small Local Models Using Knowledge DistillationBoost the performance of local LLMs using supervision from larger onesApr 23Apr 23
Nikolaos GiakoumoglouKnowledge Distillation Made EasyKnowledge Distillation (KD) is an advanced technique in machine learning aimed at transferring knowledge from a large, well-trained model…1d ago
Vincent LiuinTowards AIExploring EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies: A Brief…A Real-Time Anomaly Detection Network surpasses all the existing networksMay 8
Amit SEverything You Need To Know About Knowledge Distillation, aka Teacher-Student ModelKnowledge distillation refers to the process of transferring knowledge from a large model to a smaller one. This is vital because the…Apr 20, 20232
Kummari VasanthiBuilding an Efficient Sentiment Analysis System for Twitter with Knowledge DistillationIn today’s digital age, analyzing sentiments on social media platforms like Twitter is crucial for businesses and researchers. However…Jun 26
Youness MansarinTowards Data ScienceClone the Abilities of Powerful LLMs into Small Local Models Using Knowledge DistillationBoost the performance of local LLMs using supervision from larger onesApr 23
Micheal Bee“Distilling Language: A Novel Approach to High-Dimensional Embeddings”In the realm of Natural Language Processing (NLP), the quest for more effective word embeddings continues to drive innovation. Today, we…Jun 26
Srikanth MachirajuBuilding Small Language Models Using Knowledge Distillation (KD)Techniques & practices in distilling knowledge for language modelsFeb 24
Jyoti Dabass, Ph.DinPython in Plain EnglishThe Secret to Smaller, Faster Neural Networks: Knowledge Distillation ExplainedWant smaller, faster, and just as accurate models? Knowledge distillation is the key. Let’s uncover its secrets.Jun 15
