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Baidu Researchers Propose “HETERPS” for Distributed Deep Learning with Reinforcement Learning-Based Scheduling in Heterogeneous Environments

Baidu Researchers Propose “HETERPS” for Distributed Deep Learning with Reinforcement Learning-Based Scheduling in Heterogeneous Environments

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Deep Neural Networks (DNNs) have seen great success in several fields, including advertising systems, computer vision, and natural language processing. Large models with lots of layers, neurons and parameters are often trained using lots of data, which greatly improves the final accuracy. For example, the click-through rate (CTR) prediction model, BERT, and ERNIE use many …

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Princeton and Google AI researchers propose ReAct: an effective artificial intelligence method to synergize reasoning and action in large language models

Princeton and Google AI researchers propose ReAct: an effective artificial intelligence method to synergize reasoning and action in large language models

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Although large language models (LLMs) have shown amazing performance on tasks involving interactive decision-making and language comprehension, their reasoning (such as chain-of-thought prompting) and action skills (such as the generation of action plans) have mainly been studied as separate topics. Recent work focuses on translating textual contexts into textual actions using internal knowledge of the …

Princeton and Google AI researchers propose ReAct: an effective artificial intelligence method to synergize reasoning and action in large language models Read More »

Meta AI Researchers Propose Token Merging (ToMe) to Accelerate Vision Transformer Execution

Meta AI Researchers Propose Token Merging (ToMe) to Accelerate Vision Transformer Execution

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Vision transformers (ViT) were introduced to the literature two years ago and have become a central part of computer vision research. Taking a component that performed exceptionally well in linguistic tasks and converting it into the realm of computer vision was a bold move, but it worked. Since then, advancements in the field of computer …

Meta AI Researchers Propose Token Merging (ToMe) to Accelerate Vision Transformer Execution Read More »

Meta AI Researchers Propose Token Merging (ToMe) to Accelerate Vision Transformer Execution

Meta AI Researchers Propose Token Merging (ToMe) to Accelerate Vision Transformer Execution

Leave a Comment / Artificial intelligence / By

Vision transformers (ViT) were introduced to the literature two years ago and have become a central part of computer vision research. Taking a component that performed exceptionally well in linguistic tasks and converting it into the realm of computer vision was a bold move, but it worked. Since then, advancements in the field of computer …

Meta AI Researchers Propose Token Merging (ToMe) to Accelerate Vision Transformer Execution Read More »