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Scaling vision transformers to 22 billion parameters Google AI Google AI Blog

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​Posted by Piotr Padlewski and Josip Djolonga, Software Engineers, Google Research Large Language Models (LLMs) like PaLM or GPT-3 showed that scaling transformers to hundreds of billions of parameters improves performance and unlocks emergent abilities. The biggest dense models for image understanding, however, have reached… Read More »Scaling vision transformers to 22 billion parameters Google AI Google AI Blog

Scaling vision transformers to 22 billion parameters Google AI Google AI Blog

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​Posted by Piotr Padlewski and Josip Djolonga, Software Engineers, Google Research Large Language Models (LLMs) like PaLM or GPT-3 showed that scaling transformers to hundreds of billions of parameters improves performance and unlocks emergent abilities. The biggest dense models for image understanding, however, have reached… Read More »Scaling vision transformers to 22 billion parameters Google AI Google AI Blog

Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex Tony Momenpour AWS Machine Learning Blog

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​ This post was co-written with Tony Momenpour and Drew Clark from KYTC. Government departments and businesses operate contact centers to connect with their communities, enabling citizens and customers to call to make appointments, request services, and sometimes just ask a question. When there are… Read More »Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex Tony Momenpour AWS Machine Learning Blog

Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex Tony Momenpour AWS Machine Learning Blog

  • by

​ This post was co-written with Tony Momenpour and Drew Clark from KYTC. Government departments and businesses operate contact centers to connect with their communities, enabling citizens and customers to call to make appointments, request services, and sometimes just ask a question. When there are… Read More »Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex Tony Momenpour AWS Machine Learning Blog

Top AI Content Generators (2023) Mansi Rawat Artificial Intelligence Category – MarkTechPost

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​ Written content creation has undergone a radical change thanks to artificial intelligence (AI). A growing number of people are using AI content generators because they can produce high-quality content quickly and effectively. Here are a few of the best artificial intelligence content generators available… Read More »Top AI Content Generators (2023) Mansi Rawat Artificial Intelligence Category – MarkTechPost

Top AI Content Generators (2023) Mansi Rawat Artificial Intelligence Category – MarkTechPost

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​ Written content creation has undergone a radical change thanks to artificial intelligence (AI). A growing number of people are using AI content generators because they can produce high-quality content quickly and effectively. Here are a few of the best artificial intelligence content generators available… Read More »Top AI Content Generators (2023) Mansi Rawat Artificial Intelligence Category – MarkTechPost

Build end-to-end document processing pipelines with Amazon Textract IDP CDK Constructs Raj Pathak AWS Machine Learning Blog

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​ Intelligent document processing (IDP) with AWS helps automate information extraction from documents of different types and formats, quickly and with high accuracy, without the need for machine learning (ML) skills. Faster information extraction with high accuracy can help you make quality business decisions on… Read More »Build end-to-end document processing pipelines with Amazon Textract IDP CDK Constructs Raj Pathak AWS Machine Learning Blog

Meet LLaMA-Adapter: A Lightweight Adaption Method For Fine-Tuning Instruction-Following LLaMA Models Using 52K Data Provided By Stanford Alpaca Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ Large-scale corpora and cutting-edge hardware enable LLMs to generate models with extraordinary understanding and generative power, raising the bar for language problems. Recent developments in instruction-following models, such as ChatGPT1 and GPT-3.5, have achieved tremendous progress (text-davinci-003). They may produce professional and conversational responses… Read More »Meet LLaMA-Adapter: A Lightweight Adaption Method For Fine-Tuning Instruction-Following LLaMA Models Using 52K Data Provided By Stanford Alpaca Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Meet LLaMA-Adapter: A Lightweight Adaption Method For Fine-Tuning Instruction-Following LLaMA Models Using 52K Data Provided By Stanford Alpaca Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ Large-scale corpora and cutting-edge hardware enable LLMs to generate models with extraordinary understanding and generative power, raising the bar for language problems. Recent developments in instruction-following models, such as ChatGPT1 and GPT-3.5, have achieved tremendous progress (text-davinci-003). They may produce professional and conversational responses… Read More »Meet LLaMA-Adapter: A Lightweight Adaption Method For Fine-Tuning Instruction-Following LLaMA Models Using 52K Data Provided By Stanford Alpaca Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Meet LLaMA-Adapter: A Lightweight Adaption Method For Fine-Tuning Instruction-Following LLaMA Models Using 52K Data Provided By Stanford Alpaca Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ Large-scale corpora and cutting-edge hardware enable LLMs to generate models with extraordinary understanding and generative power, raising the bar for language problems. Recent developments in instruction-following models, such as ChatGPT1 and GPT-3.5, have achieved tremendous progress (text-davinci-003). They may produce professional and conversational responses… Read More »Meet LLaMA-Adapter: A Lightweight Adaption Method For Fine-Tuning Instruction-Following LLaMA Models Using 52K Data Provided By Stanford Alpaca Tanushree Shenwai Artificial Intelligence Category – MarkTechPost