AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Next, we recommend “Interstellar” (2014), a thought-provoking and visually stunning film that delves into the mysteries of time and space.

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Becoming Human

MARCH 17, 2023

Amazon Alexa was launched in 2014 and functions as a household assistant. Nuance , an innovation specialist focusing on conversational AI, feeds its advanced Natural Language Processing (NLU) algorithm with transcripts of chat logs to help its virtual assistant, Pathfinder, accomplish intelligent conversations.

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Pickl AI

NOVEMBER 27, 2024

Their applications span various fields, including natural language processing, time series forecasting, and speech recognition, making them a vital tool in modern AI. GRUs excel in natural language processing, time series forecasting, and speech recognition. Introduced in 2014 by Cho et al.,

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Chatbots Life

MAY 16, 2023

Deeper Insights Year Founded : 2014 HQ : London, UK Team Size : 11–50 employees Clients : Smith and Nephew, Deloitte, Breast Cancer Now, IAC, Jones Lang-Lasalle, Revival Health. Data Monsters can help companies deploy, train and test machine learning pipelines for natural language processing and computer vision.

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IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

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ODSC - Open Data Science

APRIL 28, 2023

If a Natural Language Processing (NLP) system does not have that context, we’d expect it not to get the joke. Since 2014, he has been working in data science for government, academia, and the private sector. His major focus has been on Natural Language Processing (NLP) technology and applications.

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Dataconomy

AUGUST 31, 2023

The idea emerged in 2014 and continued with acquiring RelateIQ. Einstein GPT supercharges CRM with advanced natural language processing, helping businesses communicate better, understand customers, and craft content. To make their product not only user-friendly and convenient for storing lead information.

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AWS Machine Learning Blog

JANUARY 25, 2023

Apart from supporting explanations for tabular data, Clarify also supports explainability for both computer vision (CV) and natural language processing (NLP) using the same SHAP algorithm. It is constructed by selecting 14 non-overlapping classes from DBpedia 2014.

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Mlearning.ai

APRIL 1, 2023

NLP A Comprehensive Guide to Word2Vec, Doc2Vec, and Top2Vec for Natural Language Processing In recent years, the field of natural language processing (NLP) has seen tremendous growth, and one of the most significant developments has been the advent of word embedding techniques.

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Becoming Human

MARCH 16, 2023

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. All pharma giants, including Bayer, AstraZeneca, Takeda, Sanofi, Merck, and Pfizer, have stepped up spending in the hope to create new-age AI solutions that will bring cost efficiency, speed, and precision to the process.

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How to Learn Machine Learning

JULY 20, 2024

However, significant strides were made in 2014 when Lan Goodfellow and his team introduced Generative adversarial networks (GANs). Supported by Natural Language Processing (NLP), Large language modules (LLMs), and Machine Learning (ML), Generative AI can evaluate and create extensive images and texts to assist users.

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Dataconomy

NOVEMBER 29, 2023

But one of its lesser-known features is that it can create summaries of that audio, distilling it to its key points. You can ask it to output a summary based on a percentage of the original content or specify a word count to which you want it to stick.

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ML Review

JUNE 4, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). 2014)[ 73 ] and Donahue et al.

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Heartbeat

AUGUST 21, 2023

GoogLeNet: is a highly optimized CNN architecture developed by researchers at Google in 2014. Applications of Convolutional Neural Networks Convolutional neural networks (CNNs) have been employed in various domains, including computer vision, natural language processing, voice recognition, and audio analysis.

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ODSC - Open Data Science

MAY 25, 2023

In 2014 she was named the world’s first Chief AI Ethics officer. Kay Firth-Butterfield Head of AI & Machine Learning | Member, Executive Committee | World Economic Forum Kay Firth-Butterfield, one of the world’s foremost experts on the governance of AI, has dedicated much of her career to furthering the goals of AI Governance.

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Pickl AI

SEPTEMBER 30, 2024

Introduction Generative Adversarial Networks (GANs) have emerged as one of the most exciting advancements in the field of Artificial Intelligence and Machine Learning since their introduction in 2014 by Ian Goodfellow and his collaborators. Techniques like progressive growing of GANs could become more common.

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Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). Uysal and Gunal, 2014). Information Processing & Management, 50(1):104–112. Foundations of Statistical Natural Language Processing [M]. The architecture of BERT is represented in Figure 14. Dönicke, T.,

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Her expertise is in building machine learning solutions involving computer vision and natural language processing for various industry verticals. We compare the performance with respect to the object sizes (in proportion to image size)— small (area 1%).

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ML Review

MARCH 5, 2019

Modern natural language processing has yielded tools to conduct these types of exploratory search, we just need to apply them to the data from valuable sources, such as ArXiv. Crafting a dataset The number of papers added to ArXiv per month since 2014. How to find similar phrases without knowing what you’re searching for?

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Explosion

MAY 17, 2023

A lot of people are building truly new things with Large Language Models (LLMs), like wild interactive fiction experiences that weren’t possible before. But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them?

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Mlearning.ai

MARCH 9, 2023

Generative adversarial networks-based adversarial training for natural language processing. However, these algorithms are vulnerable to adversarial attacks, where imperceptible perturbations to the input image can lead to significant misclassifications (Goodfellow et al., 2013; Goodfellow et al., Goodfellow, I. Goodfellow, I.

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ML Review

FEBRUARY 26, 2018

Following its successful adoption in computer vision and voice recognition, DL will continue to be applied in the domain of natural language processing (NLP). AAAI Press, 2014: 1586–1592. Deep Reinforcement Learning for Dialogue Generation[J]. 7] Sordoni A, Bengio Y, Nie J Y.

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ODSC - Open Data Science

JANUARY 29, 2024

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. Generative AI Generative AI is another crucial skill for the role of prompt engineering, as it encompasses the core ability to leverage AI to create new content, whether it be text, images, or other forms of media.

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Pickl AI

NOVEMBER 28, 2024

Understanding the Basics of GANs Generative Adversarial Networks (GANs) are a class of Machine Learning models introduced by Ian Goodfellow in 2014. Advanced GAN architectures enhance performance and reduce training complexity. They excel at creating realistic synthetic data by leveraging an adversarial framework.

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DagsHub

OCTOBER 23, 2024

Large Language Models We engineer LLMs like Gemini and GPT-4 to process and understand unstructured text data. They can generate human-like text, summarize documents, and answer questions, making them essential for natural language processing and text analytics tasks. Our model achieves 28.4 after training for 3.5

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Explosion

FEBRUARY 18, 2015

spaCy is a new library for text processing in Python and Cython. I wrote it because I think small companies are terrible at natural language processing (NLP). This is easy to do, as spaCy loads a vector-space representation for every word (by default, the vectors produced by Levy and Goldberg (2014) _).

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Pickl AI

OCTOBER 1, 2024

Founded in 2010, DeepMind was acquired by Google in 2014 and has since become one of the most respected AI research companies in the world. The success of ChatGPT has cemented OpenAI’s position as a leader in the Generative AI space and has sparked a renewed interest in the potential of this technology.

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Flipboard

APRIL 8, 2023

Until 2014, most new machine learning models came from academia, but industry has quickly surged ahead. researchers surveyed natural language processing researchers, as evidenced by publications, to get a handle on what AI experts think about AI research, HAI reported. A group of U.S.

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AWS Machine Learning Blog

JULY 9, 2024

Sonnet made key improvements in visual processing and understanding, writing and content generation, natural language processing, coding, and generating insights. Prior to joining AWS in 2014, Scott’s 28-year career in financial services included roles at JPMorgan Chase, Nasdaq, Merrill Lynch, and Penson Worldwide.

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ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading! Available: [link] ^ Cho et al.

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DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. Two of our co-founders were part of Harvards first Masters program in Computational Science and Engineering in 2014, now one of many such programs at universities.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

We also note that our models primarily work well for search, recommendation, and natural language processing tasks that typically feature large, high-dimensional output spaces and a requirement of extremely low inference latency.

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ODSC - Open Data Science

FEBRUARY 29, 2024

The Stanford AI Lab Founded in 1963, the Stanford AI Lab has made significant contributions to various domains, including natural language processing, computer vision, and robotics. Recently, they unveiled new mind-body neural control prostheses.

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Snorkel AI

MAY 24, 2023

He leads corporate strategy for machine learning, natural language processing, information retrieval, and alternative data. He received the 2014 ACM Doctoral Dissertation Award and the 2019 Presidential Early Career Award for Scientists and Engineers for his research on large-scale computing.

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Snorkel AI

MAY 24, 2023

He leads corporate strategy for machine learning, natural language processing, information retrieval, and alternative data. He received the 2014 ACM Doctoral Dissertation Award and the 2019 Presidential Early Career Award for Scientists and Engineers for his research on large-scale computing.

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AWS Machine Learning Blog

MAY 24, 2023

The Palestinians signed the ICC's founding Rome Statute in January, when they also accepted its jurisdiction over alleged crimes committed "in the occupied Palestinian territory, including East Jerusalem, since June 13, 2014." He got his masters from Courant Institute of Mathematical Sciences and B.Tech from IIT Delhi.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

text generation model on domain-specific datasets, enabling it to generate relevant text and tackle various natural language processing (NLP) tasks within a particular domain using few-shot prompting. Bad Blood” is a song by American singer-songwriter Taylor Swift, taken from her fifth studio album 1989 (2014).

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