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Researchers from UCI and Zhejiang University Introduce Lossless Large Language Model Acceleration via Self-Speculative Decoding Using Drafting And Verifying Stages Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​ Large Language Models (LLMs) based on transformers, such as GPT, PaLM, and LLaMA, have become widely used in a variety of real-world applications. These models have been applied to a variety of tasks, including text production, translation, and natural language interpretation. However, these models’… Read More »Researchers from UCI and Zhejiang University Introduce Lossless Large Language Model Acceleration via Self-Speculative Decoding Using Drafting And Verifying Stages Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Difference between ‘COPY’ and ‘ADD’ Commands in a Dockerfile? Narender Kumar Spark By {Examples}

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​ What is the difference between copy and add commands in a dockerfile? Docker has revolutionized the way we develop, deploy, and manage applications by providing a platform for containerization. Central to the containerization process is the Dockerfile, a script-like configuration file that contains instructions… Read More »Difference between ‘COPY’ and ‘ADD’ Commands in a Dockerfile? Narender Kumar Spark By {Examples}

Distilling step-by-step: Outperforming larger language models with less training data and smaller model sizes Google AI Google AI Blog

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​Posted by Cheng-Yu Hsieh, Student Researcher, and Chen-Yu Lee, Research Scientist, Cloud AI Team Large language models (LLMs) have enabled a new data-efficient learning paradigm wherein they can be used to solve unseen new tasks via zero-shot or few-shot prompting. However, LLMs are challenging to… Read More »Distilling step-by-step: Outperforming larger language models with less training data and smaller model sizes Google AI Google AI Blog

How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline Xin Gu AWS Machine Learning Blog

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​ In this post, we discuss how United Airlines, in collaboration with the Amazon Machine Learning Solutions Lab, build an active learning framework on AWS to automate the processing of passenger documents. “In order to deliver the best flying experience for our passengers and make… Read More »How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline Xin Gu AWS Machine Learning Blog

Optimize generative AI workloads for environmental sustainability Wafae Bakkali AWS Machine Learning Blog

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​ The adoption of generative AI is rapidly expanding, reaching an ever-growing number of industries and users worldwide. With the increasing complexity and scale of generative AI models, it is crucial to work towards minimizing their environmental impact. This involves a continuous effort focused on… Read More »Optimize generative AI workloads for environmental sustainability Wafae Bakkali AWS Machine Learning Blog

Can AI Outperform Humans at Creative Thinking Task? This Study Provides Insights into the Relationship Between Human and Machine Learning Creativity Mohammad Arshad Artificial Intelligence Category – MarkTechPost

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​ While AI has made tremendous progress and has become a valuable tool in many domains, it is not a replacement for humans’ unique qualities and capabilities. The most effective approach, in many cases, involves humans working alongside AI, leveraging each other’s strengths to achieve… Read More »Can AI Outperform Humans at Creative Thinking Task? This Study Provides Insights into the Relationship Between Human and Machine Learning Creativity Mohammad Arshad Artificial Intelligence Category – MarkTechPost