Skip to content

zetabyte

Microsoft Research Proposes SMART: A Generic Pretraining Framework For Multi-Task Sequential Decision Making Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Many linguistic and visual difficulties have been helped by self-supervised pretraining. In the language and vision domains, where a unified model may be easily tailored to multiple downstream tasks by pretraining representations without explicit labeling, self-supervised pretraining has been the subject of substantial research. However,… Read More »Microsoft Research Proposes SMART: A Generic Pretraining Framework For Multi-Task Sequential Decision Making Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

What Happens If You Run A Transformer Model With An Optical Neural Network? Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

The exponentially expanding scale of deep learning models is a major force in advancing the state-of-the-art and a source of growing worry over the energy consumption, speed, and, therefore, feasibility of massive-scale deep learning. Recently, researchers from Cornell talked about Transformer topologies, particularly how they… Read More »What Happens If You Run A Transformer Model With An Optical Neural Network? Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Understand Model Behavior During Training by Visualizing Metrics Adrian Tam MachineLearningMastery.com

You can learn a lot about neural networks and deep learning models by observing their performance over time during training. For example, if you see the training accuracy went worse with training epochs, you know you have issue with the optimization. Probably your learning rate… Read More »Understand Model Behavior During Training by Visualizing Metrics Adrian Tam MachineLearningMastery.com

A New Deep Reinforcement Learning (DRL) Framework can React to Attackers in a Simulated Environment and Block 95% of Cyberattacks Before They Escalate Khushboo Gupta Artificial Intelligence Category – MarkTechPost

Cybersecurity defenders must dynamically adapt their techniques and tactics as technology develops and the level of complexity in a system surges. As machine learning (ML) and artificial intelligence (AI) research has advanced over the past ten years, so have the use cases for these technologies… Read More »A New Deep Reinforcement Learning (DRL) Framework can React to Attackers in a Simulated Environment and Block 95% of Cyberattacks Before They Escalate Khushboo Gupta Artificial Intelligence Category – MarkTechPost

Meta AI Unveils LLaMA: A Series of Open-Source Language Models Ranging from 7B to 65B Parameters Khushboo Gupta Artificial Intelligence Category – MarkTechPost

Large language models (LLMs) have taken the tech industry by storm in the last few years. These language models, trained on vast amounts of data, can perform a variety of tasks, ranging from fundamental ones like summarising text and writing poetry to more challenging ones… Read More »Meta AI Unveils LLaMA: A Series of Open-Source Language Models Ranging from 7B to 65B Parameters Khushboo Gupta Artificial Intelligence Category – MarkTechPost

CMU Researchers Propose DocPrompting: A Natural Language To Code Generation Approach By Retrieving Code Documentation Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

The source code libraries available to the public are always evolving and expanding. Thus, it is hard for code models to stay up-to-date with all accessible APIs by only training these models on existing code repositories. DocPrompting is a new way to generate code from… Read More »CMU Researchers Propose DocPrompting: A Natural Language To Code Generation Approach By Retrieving Code Documentation Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost