Dataconomy

OCTOBER 2, 2024

Kingma, is a prominent figure in the field of artificial intelligence and machine learning. cum laude in machine learning from the University of Amsterdam in 2017. ” Who is Durk Kingma? Durk Kingma, also known as Diederik P. He earned his Ph.D. Durk Kingma, also known as Diederik P.

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Dataconomy

MARCH 12, 2025

Transformer models have marked a significant milestone in the world of machine learning and artificial intelligence. By adeptly handling sequential data, they have dramatically transformed how machines comprehend and generate human language.

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ODSC - Open Data Science

JUNE 9, 2023

ELIZA was built by Joseph Weizenbaum at the MIT Artificial Intelligence Laboratory and was designed to imitate Rogerian psychotherapists. Once a set of word vectors has been learned, they can be used in various natural language processing (NLP) tasks such as text classification, language translation, and question answering.

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Hacker News

MARCH 25, 2022

First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date. That’s a radical shift from a 2017 IEEE study that reported RNNs and CNNs were the most popular models for pattern recognition. No Labels, More Performance. How Transformers Got Their Name.

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Data Science Dojo

DECEMBER 8, 2023

Counting Shots, Making Strides: Zero, One and Few-Shot Learning Unleashed In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms.

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Flipboard

JANUARY 14, 2025

By combining the reasoning power of multiple intelligent specialized agents, multi-agent collaboration has emerged as a powerful approach to tackle more intricate, multistep workflows. The concept of multi-agent systems isnt entirely newit has its roots in distributed artificial intelligence research dating back to the 1980s.

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Dataconomy

MARCH 6, 2025

Vision Language Models (VLMs) have emerged as a groundbreaking advancement in artificial intelligence. By combining the capabilities of computer vision with natural language processing, these models enable a richer interaction between visual data and textual information.

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Dataconomy

MARCH 28, 2025

Large language models (LLMs) are shaping the landscape of artificial intelligence, providing a bridge between human communication and machine understanding. Their ability to process vast amounts of text data allows them to generate human-like responses, making them invaluable in various applications.

Deep Learning 103

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Towards AI

AUGUST 25, 2023

What is AI Engineering AI Engineering is a new discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts [1]. There is often confusion between the terms artificial intelligence and machine learning, which is discussed in The AI Process.

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Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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Dataconomy

FEBRUARY 6, 2024

Artificial intelligence and machine learning are no longer the elements of science fiction; they’re the realities of today. Besides, natural language processing (NLP) allows users to gain data insight in a conversational manner, such as through ChatGPT, making data even more accessible. times since 2017.

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Dataconomy

AUGUST 10, 2023

These systems, powered by artificial intelligence, are designed to assist healthcare providers in documenting patient encounters, retrieving information, and performing other administrative tasks that traditionally consumed valuable time and resources. How is artificial intelligence in surgery and healthcare changing our lives?

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Towards AI

OCTOBER 19, 2024

Why We’re Demanding Answers from Our Smartest Machines Image generated by Gemini AI Artificial intelligence is making decisions that impact our lives in profound ways, from loan approvals to medical diagnoses. It’s particularly useful in natural language processing [3]. Author(s): Paul Ferguson, Ph.D.

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AWS Machine Learning Blog

JULY 9, 2024

In the financial services industry, we hear customers ask which model to choose for their financial domain generative artificial intelligence (AI) applications. of its consolidated revenues during the years ended December 31, 2019, 2018 and 2017, respectively. As pointed out in Anthropic’s Claude 3.5

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Dataconomy

MARCH 7, 2023

Artificial intelligence is rapidly transforming the way we interact with technology. AI chatbots have been waiting for you for a while When we talk about AI chat, we mean a conversation between a human and a chatbot that uses natural language processing to simulate human conversation.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

Her research interests lie in Natural Language Processing, AI4Code and generative AI. She received her PhD from Virginia Tech in 2017. He received his PhD from University of Illinois at Urbana-Champaign in 2017. His research interests lie in the area of AI4Code and Natural Language Processing.

AWS 110

AWS Natural Language Processing K-nearest Neighbors Computer Science 110

Flipboard

FEBRUARY 5, 2023

Duolingo, with its gamelike approach and cast of bright cartoon characters, presents a simple user interface to guide learners through a curriculum that leads to language proficiency, or even fluency. But behind the scenes, sophisticated artificial-intelligence (AI) systems are at work.

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ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks. Hugging Face Hugging Face is an artificial intelligence company that specializes in NLP.

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Smart Data Collective

FEBRUARY 24, 2021

Tomorrow Sleep was launched in 2017 as a sleep system startup and ventured on to create online content in 2018. In order to achieve this, Grammarly’s technology combines machine learning with natural language processing approaches. Tomorrow Sleep Achieved 10,000% Increase in Web Traffic.

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Snorkel AI

MARCH 1, 2023

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy.

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Towards AI

JULY 21, 2023

The Ninth Wave (1850) Ivan Aivazovsky NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.13.20 declassified Blast from the past: Check out this old (2017) blog post from Google introducing transformer models. Aere Perrenius Welcome back. Hope you enjoyed your week!

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Towards AI

JULY 21, 2023

Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 07.26.20 The last known comms from 3301 came in April 2017 via Pastebin post. Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI.

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Hacker News

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This concept is not exclusive to natural language processing, and has also been employed in other domains.

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ODSC - Open Data Science

JUNE 13, 2023

billion in 2017 to 3.78 The average annual growth in social media consumers has been 230 million between 2017 and 2021. Social Media Analysis using Natural Language Processing Techniques. Method for optimizing media and marketing content using cross-platform video intelligence. billion in 2021. Statista.com.

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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). 2017) present their WLAS Network.

Deep Learning 52

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DataSeries

AUGUST 15, 2024

They represent a pivotal advancement in artificial intelligence (AI), leveraging inspiration from the neural networks of the human brain to equip machines with transformative capabilities. They use their internal state (memory) to process variable-length sequences of inputs, making them ideal for tasks like speech recognition.

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AWS Machine Learning Blog

AUGUST 16, 2023

The images document the land cover, or physical surface features, of ten European countries between June 2017 and May 2018. June Li is a data scientist at Travelers’s Business Insurance’s Artificial Intelligence team, where she leads and coordinates work in the AI imagery portfolio.

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Chatbots Life

MARCH 17, 2023

in 1995, coded using AIML (Artificial Intelligence Markup Language) based on heuristic pattern matching. Timeline by Antoine Louis on A Brief History of Natural Language Processing Siri, Google Assistant, Cortana, and Alexa, are the successive technologies rolled out in the 20th century.

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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. Though it works with almost all types of text, it excels when providing summaries for complex studies and essays, allowing students to distill their research sources down to their key points.

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Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

Machine Learning 52

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Applied Data Science

MARCH 11, 2022

This explain this statement at the NeurIPS 2017 Test-of-Time Award: It seems easier to train a bi-directional LSTM with attention than to compute the PCA of a large matrix. — Rahimi Language as a game: the field of Emergent Communication Firstly, what is language?

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Flipboard

MARCH 27, 2023

Since the launch of PyTorch in 2017, it has strived for high performance and eager execution. Accelerating BERT A similar concept works for natural language processing (NLP) models like BERT. My mission is to change education and how complex Artificial Intelligence topics are taught. Models (e.g.,

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ML Review

FEBRUARY 26, 2018

During 2017’s Double 11 shopping festival, AliMe successfully responded to 9.04 Following its successful adoption in computer vision and voice recognition, DL will continue to be applied in the domain of natural language processing (NLP). ACL 2017 [3] Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio.

Deep Learning 52

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AWS Machine Learning Blog

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). It performs well on various natural language processing (NLP) tasks, including text generation.

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