AWS Machine Learning Blog

JUNE 3, 2025

Amazon Simple Storage Service (Amazon S3) provides secure storage for conversation logs and supporting documents, and Amazon Bedrock powers the core natural language processing capabilities. In the process of implementation, we discovered that Anthropics Claude 3.5

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Dataconomy

APRIL 24, 2025

RankBrain (2015): The machine learning catalyst What changed? BERT (2019): Understanding human language nuance What was the breakthrough? Kudos to Google for consistently integrating machine learning algorithms to enhance the search engine experience of users. Here is a timeline of the groundbreaking AI revolution in search.

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ODSC - Open Data Science

MARCH 10, 2025

Analyzing nearly a decades worth of conference sessions from 2015 to 2024 reveals fascinating shifts in focus areas, popular frameworks, and emerging trends that have shaped thefield. This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience.

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Hacker News

JULY 19, 2025

23 ] Unicode edit Main article: Sutton SignWriting (Unicode block) SignWriting is the first writing system for sign languages to be included in the Unicode Standard. released in June 2015. 34 ] [ 35 ] The conversion of sign language video to SignWriting text is an emerging field with open source options. [ ScriptSource.

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Data Science Dojo

DECEMBER 8, 2023

For instance, in natural language processing, a model trained on various languages might be tasked with translating a language it has never seen before. This comprehensive evaluation sheds light on the landscape of zero-shot learning methodologies, exploring the strengths and challenges across various approaches.

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ODSC - Open Data Science

JUNE 9, 2023

2000–2015 The new millennium gave us low-rise jeans, trucker hats, and bigger advancements in language modeling, word embeddings, and Google Translate. 2015 and beyond — Word2vec, GloVe, and FASTTEXT Word2vec, GloVe, and FASTTEXT focused on word embeddings or word vectorization. or ChatGPT (2022) ChatGPT is also known as GPT-3.5

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Data Science Dojo

SEPTEMBER 13, 2023

Deep learning And NLP Deep Learning and Natural Language Processing (NLP) are like best friends in the world of computers and language. Building Chatbots involves creating AI systems that employ deep learning techniques and natural language processing to simulate natural conversational behavior.

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Dataconomy

OCTOBER 2, 2024

He played a pivotal role in the creation of influential AI systems such as DALL-E and ChatGPT , which have helped revolutionize text-to-image generation and natural language processing. In 2015, Kingma co-founded OpenAI, a leading research organization in AI, where he led the algorithms team.

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Data Science Dojo

DECEMBER 8, 2023

For instance, in natural language processing, a model trained on various languages might be tasked with translating a language it has never seen before. This comprehensive evaluation sheds light on the landscape of zero-shot learning methodologies, exploring the strengths and challenges across various approaches.

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Towards AI

FEBRUARY 14, 2023

Cohere, a startup that specializes in natural language processing, has developed a reputation for creating sophisticated applications that can generate natural language with great accuracy. OpenAI, on the other hand, is an AI research laboratory that was founded in 2015.

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Towards AI

JULY 23, 2023

In the first part of the series, we talked about how Transformer ended the sequence-to-sequence modeling era of Natural Language Processing and understanding. In 2015, Andrew M. The authors introduced the idea of transfer learning in the natural language processing, understanding, and inference world.

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AWS Machine Learning Blog

AUGUST 11, 2023

Natural language processing (NLP) is the field in machine learning (ML) concerned with giving computers the ability to understand text and spoken words in the same way as human beings can. For this solution, we use the 2015 New Year’s Resolutions dataset to classify resolutions.

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Google Research AI blog

MARCH 7, 2023

books, magazines, newspapers, forms, street signs, restaurant menus) so that they can be indexed, searched, translated, and further processed by state-of-the-art natural language processing techniques. words per image on average, which is more than 3x the density of TextOCR and 25x more dense than ICDAR-2015.

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Dataconomy

JULY 29, 2024

Rapid evolution of ChatGPT mainstreams AI A founding team of tech visionaries, including Sam Altman, Elon Musk, Greg Brockman, and others, led to the creation of OpenAI in 2015, which introduced ChatGPT, a GPT-3.5-powered powered chatbot, in November 2022.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

Her research interests lie in Natural Language Processing, AI4Code and generative AI. His research interests lie in the area of AI4Code and Natural Language Processing. His interests are mainly in the areas of Natural Language Processing and Generative AI.

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AWS Machine Learning Blog

OCTOBER 5, 2023

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. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program. He founded StylingAI Inc.,

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IBM Journey to AI blog

NOVEMBER 13, 2023

Kubernetes’s declarative, API -driven infrastructure has helped free up DevOps and other teams from manually driven processes so they can work more independently and efficiently to achieve their goals. And Kubernetes can scale ML workloads up or down to meet user demands, adjust resource usage and control costs.

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Heartbeat

APRIL 23, 2023

One of the key components of chatbot development is natural language processing (NLP), which allows the bot to understand and respond to human language. SpaCy is a popular open-source NLP library developed in 2015 by Matthew Honnibal and Ines Montani, the founders of the software company Explosion.

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Dataconomy

AUGUST 31, 2023

But the real progress happened in 2015. Einstein GPT supercharges CRM with advanced natural language processing, helping businesses communicate better, understand customers, and craft content. By using this app, sales teams could spot the most promising leads and opportunities for converting them into buyers.

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NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. Cho’s work on building attention mechanisms within deep learning models has been seminal in the field.

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Snorkel AI

MARCH 1, 2023

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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Devlin et al.

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Explosion

NOVEMBER 21, 2019

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. Try the new interactive demo to explore similarities and compare them between 2015 and 2019 sense2vec (Trask et. Interestingly, “to ghost” wasn’t very common in 2015.

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Explosion

NOVEMBER 9, 2016

Over the last six months, a powerful new neural network playbook has come together for Natural Language Processing. A four-step strategy for deep learning with text Embedded word representations, also known as “word vectors”, are now one of the most widely used natural language processing technologies.

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ML Review

FEBRUARY 26, 2018

Launched in July 2015, AliMe is an IHCI-based shopping guide and assistant for e-commerce that overhauls traditional services, and improves the online user experience. Following its successful adoption in computer vision and voice recognition, DL will continue to be applied in the domain of natural language processing (NLP).

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DagsHub

JULY 25, 2024

TensorFlow The Google Brain team created the open-source deep learning framework TensorFlow, which was made available in 2015. Libraries and Extensions: Includes torchvision for image processing, touchaudio for audio processing, and torchtext for NLP.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

Use natural language processing (NLP) in Amazon HealthLake to extract non-sensitive data from unstructured blobs. The high-level steps involved in the solution are as follows: Use AWS Step Functions to orchestrate the health data anonymization pipeline. Perform one-hot encoding with Amazon SageMaker Data Wrangler.

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Mlearning.ai

MARCH 9, 2023

2015; Huang et al., One approach involves incorporating adversarial training into the learning process, which involves generating adversarial examples during training and using them to augment the training set (Goodfellow et al., 2019) or by using input pre-processing techniques to remove adversarial perturbations (Xie et al.,

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Pickl AI

AUGUST 22, 2024

In industry, it powers applications in computer vision, natural language processing, and reinforcement learning. This allows users to change the network architecture on-the-fly, which is particularly useful for tasks that require variable input sizes, such as natural language processing and reinforcement learning.

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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). Source : Johnson et al. using Faster-RCNN[ 82 ].

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AWS Machine Learning Blog

APRIL 18, 2023

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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Heartbeat

AUGUST 21, 2023

ResNet is a deep CNN architecture developed by Kaiming He and his colleagues at Microsoft Research in 2015. 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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AWS Machine Learning Blog

APRIL 25, 2024

Calculate a ROUGE-N score You can use the following steps to calculate a ROUGE-N score: Tokenize the generated summary and the reference summary into individual words or tokens using basic tokenization methods like splitting by whitespace or natural language processing (NLP) libraries.

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Chatbots Life

MARCH 17, 2023

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. Simply put, GPTs are machine learning models based on the neural network architecture that mimics the human brain.

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Snorkel AI

MAY 24, 2023

chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Yoav Shoham is the Co-CEO and Co-Founder of AI21 Labs, a company that aims to create natural language understanding and natural language generation systems. Patil served as the first U.S.

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Snorkel AI

MAY 24, 2023

chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Yoav Shoham is the Co-CEO and Co-Founder of AI21 Labs, a company that aims to create natural language understanding and natural language generation systems. Patil served as the first U.S.

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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! Source : Assael et al.

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IBM Journey to AI blog

AUGUST 11, 2023

Origins of the MLOps process MLOps was born out of the realization that ML lifecycle management was slow and difficult to scale for business application. In both cases, the goal is faster fixes, faster releases and ultimately, a higher quality product that boosts customer satisfaction.

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