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ALBERT Model for Self-Supervised Learning

Analytics Vidhya

Source: Canva Introduction In 2018, Google AI researchers came up with BERT, which revolutionized the NLP domain. Later in 2019, the researchers proposed the ALBERT (“A Lite BERT”) model for self-supervised learning of language representations, which shares the same architectural backbone as BERT. The key […].

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From Supervised Learning to Contextual Bandits: The Evolution of AI Decision-Making

Towards AI

Originally published on Towards AI. Supervised Learning: Train once, deploy static model; Contextual Bandits: Deploy once, allow the agent to adapt actions based on content and its corresponding reward. This blog explores the differences between supervised learning and contextual bandits.

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Self Supervised Learning Models to Predict Early COVID-19 Deterioration by Facebook AI

Analytics Vidhya

ArticleVideos Overview Facebook AI and NYU Health Predictive Unit have developed machine learning models that can help doctors predict how a patient’s condition may. The post Self Supervised Learning Models to Predict Early COVID-19 Deterioration by Facebook AI appeared first on Analytics Vidhya.

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Self-Supervised Learning: The Next Frontier in Machine Learning

Towards AI

Author(s): Aleti Adarsh Originally published on Towards AI. Have you ever felt like the world of machine learning is moving so fast that you can barely keep up? One day, its all about supervised learning and the next, people are throwing around terms like self-supervised learning as if its the holy grail of AI.

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The Math Behind Supervised Learning: Making AI Less Mysterious

Towards AI

Last Updated on February 26, 2025 by Editorial Team Author(s): Aleti Adarsh Originally published on Towards AI. Ever Wondered How AI Learns? Have you ever looked at AI models and thought, How the heck does this thing actually learn? Join thousands of data leaders on the AI newsletter. Lets Break It Down!

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DinoV2: Most Advanced Self-Taught Vision Model by Meta

Analytics Vidhya

Meta AI has announced the launch of DinoV2, an open-source, self-supervised learning model. It is a vision transformer model for computer vision tasks, built upon the success of its predecessor, DINO.

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Knowledge Distillation: Making AI Models Smaller, Faster & Smarter

Data Science Dojo

Artificial intelligence (AI) has transformed industries, but its large and complex models often require significant computational resources. Traditionally, AI models have relied on cloud-based infrastructure, but this approach often comes with challenges such as latency, privacy concerns, and reliance on a stable internet connection.

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