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Introducing NYU Center for Data Science Research Groups

NYU Center for Data Science

And how can we best use insights from natural intelligence to develop new, more powerful machine intelligence technologies that more fruitfully interact with us?” The group works on machine learning in a broad range of applications, predominately in computer perception, natural language understanding, robotics, and healthcare.

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Microsoft reveals new search engine and browser with AI ‘copilot,’ escalating battle with Google

Flipboard

That evolved into Windows Live Search, relaunched as Bing in 2009. Microsoft in recent weeks has accelerated the pace of AI integrations into its products, many of them powered by OpenAI’s GPT natural language processing technology. The company made its Azure OpenAI Service generally available on Jan.

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Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Chatbots Life

10CLOUDS Year Founded : 2009 HQ : Warsaw, Poland Team Size : 51–200 employees Clients : TrustStamp (Identity verification), Emergent Tech (G-Coin), AlephZero (Blockchain), Tapeke (BitCoin Software Development), Tagasauris (Crowdsourcing Software Development), CallerSmart. Elite Service Delivery partner of NVIDIA.

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Top recommended AI companies in Vietnam to collaborate in 2024

Dataconomy

The company is renowned for its deep understanding of machine learning and natural language processing technologies, providing practical AI solutions tailored to businesses’ unique needs. Their team of AI experts excels in creating algorithms for deep learning, predictive analytics, and automation.

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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning Blog

His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. He was a recipient of the NSF Faculty Early Career Development Award in 2009. He focuses on developing scalable machine learning algorithms.

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Amazon SageMaker built-in LightGBM now offers distributed training using Dask

AWS Machine Learning Blog

From image and speech recognition to natural language processing and predictive analytics, ML models have been applied to a wide range of problems. For the NYC taxi data, we use the yellow trip taxi records from 2009–2022. We follow the example notebook to conduct feature processing. The processed data takes 8.5

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

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