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.

Deep Learning 52

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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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Generative AI Chatbots Conversational AI Software Development 98

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.

Neural Network 124

Neural Network Artificial Intelligence Artificial Intelligence Automation 124

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.

Generative AI 111

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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.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing Computer Vision 52

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.

Data Science 52

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Topbots

JUNE 22, 2023

SA is a very widespread Natural Language Processing (NLP). Expert Systems with Applications (2014), 41(16):7653–7670. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 595–605. I am a researcher, and its ability to do sentiment analysis (SA) interests me.

Machine Learning 111

Machine Learning ChatGPT Natural Language Processing Categorization 111

John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. A VQA system takes free-form, text-based questions about an input image and presents answers in a natural language format.

Natural Language Processing 40

Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

Defined.ai blog

MARCH 23, 2023

Another advantage of open-source ABSA datasets is that they’re widely used and well-known in the natural language processing (NLP) community, meaning that there’s a wealth of information and support available for anyone using these datasets in their own projects. More info about the SemEval datasets can be found here.

NLP 52

NLP Computational Linguistics Computational Semantics Natural Language Processing 52

Unite.AI

JANUARY 9, 2024

Apple prioritizes computer vision , natural language processing , voice recognition, and healthcare to enhance its products. Likewise, Microsoft strengthens its cloud and enterprise software through acquisitions in natural language processing , computer vision , and cybersecurity.

Natural Language Processing 147

Natural Language Processing Computer Vision Robotics AI 147

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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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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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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Prompt Engineer Prompt Engineering Computer Vision Machine Learning 90

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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DevOps Automation Software Development Large Language Models 291

John Snow Labs

FEBRUARY 29, 2024

A significant milestone was reached in 2014 with the introduction of Generative Adversarial Networks (GANs). Healthcare NLP (Natural Language Processing) technologies extract insights from physician records, patient histories and diagnostic reports facilitating precise diagnosis. This improves access to care.

Generative AI 40

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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.

Robotics 52

Robotics Deep Learning Chatbots Natural Language Processing 52

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.

Deep Learning 98

Deep Learning Convolutional Neural Networks Neural Network NLP 98

Sebastian Ruder

NOVEMBER 14, 2022

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. Transfer learning in natural language processing. An image in Flickr30k (Young et al., Kolesnikov, A.,

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52

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.,

BERT 52

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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.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

Lexalytics

APRIL 5, 2021

This is the sort of representation that is useful for natural language processing. Girshick, Sergio Guadarrama and Trevor Darrell (2014) “ Caffe: Convolutional Architecture for Fast Feature Embedding ” Nitish Srivastava, Geoffrey E.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

John Snow Labs

MAY 18, 2023

Word embeddings are considered as a type of representation used in natural language processing (NLP) to capture the meaning of words in a numerical form. Word embeddings are used in natural language processing (NLP) as a technique to represent words in a numerical format. setInputCol('text').setOutputCol('document')

NLP 52

NLP Machine Learning Python Natural Language Processing 52

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.

Neural Network 139

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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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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.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

Viso.ai

JANUARY 2, 2024

VGGNet , introduced by Simonyan and Zisserman in 2014, emphasized the importance of depth in CNN architectures through its 16-19 layer CNN network. GoogleNet (or Inception) brought the novel concept of inception modules, enabling efficient computation and deeper networks without a significant increase in parameters.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Pragnakalp

JANUARY 1, 2024

The most recent solar maximum, which is associated with increased solar activity, occurred around 2014. The Sun experiences an 11-year solar cycle, during which solar activity generally increases and then decreases. Solar activity is currently decreasing towards solar minimum.

Python 52

Python Natural Language Processing Explainability NLP 52

Sebastian Ruder

AUGUST 18, 2019

Later approaches then scaled these representations to sentences and documents ( Le and Mikolov, 2014 ; Conneau et al., LM pretraining   Many successful pretraining approaches are based on variants of language modelling (LM). Early approaches such as word2vec ( Mikolov et al., 2017 ; Peters et al., 2019 ; Logan IV et al.,

NLP 75

NLP BERT Natural Language Processing Computational Linguistics 75

Sebastian Ruder

AUGUST 23, 2021

Does this mean that we have solved natural language processing? For instance, the AI Index Report 2021 uses SuperGLUE and SQuAD as a proxy for overall progress in natural language processing. 2014 ) and can be helpful for error analysis. Far from it.

NLP 52

NLP Natural Language Processing ML Deep Learning 52

Sebastian Ruder

FEBRUARY 24, 2021

Fine-tuning a pre-trained language model (LM) has become the de facto standard for doing transfer learning in natural language processing. 2018 ) while pre-trained language models are favoured over models trained on translation ( McCann et al., 2018 ), natural language inference ( Conneau et al.,

Natural Language Processing 52

Natural Language Processing BERT NLP Computer Vision 52

Sebastian Ruder

MAY 22, 2020

This advice should be most relevant to people studying machine learning (ML) and natural language processing (NLP) as that is what I did in my PhD. 2014 ), neuroscience ( Wang et al., Having said that, this advice is not just limited to PhD students. The papers that draw such connections can often be insightful.

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Natural Language Processing NLP ML Deep Learning 52

Probably Approximately a Scientific Blog

JANUARY 3, 2016

We're already after 6 posts on the topic of natural language processing, and I can't believe I haven't discussed this basic topic yet. So today I'm going to discuss words; More accurately - I will discuss how words are represented in natural language processing. EMNLP 2014. CoRR, 2013.

Natural Language Processing 52

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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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LLM NLP Large Language Models OpenAI 135

Artificial Corner

JUNE 6, 2023

Natural Language Processing (NLP) techniques can be applied to analyze and understand unstructured text data. MapReduce: simplified data processing on large clusters. The integration of AI and ML into data engineering pipelines enables a wide range of applications. Morgan Kaufmann. Dean, J., & Ghemawat, S.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

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) _).

NLP 52

NLP Natural Language Processing Software Engineer Explainability 52

The Stanford AI Lab Blog

FEBRUARY 1, 2022

In Proceedings of the Second Work- shop on Gender Bias in Natural Language Processing , pages 72–78, Barcelona, Spain (Online). In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction , HRI ’20, page 160–162, New York, NY, USA.

Computational Linguistics 40

Computational Linguistics Chatbots Robotics Natural Language Processing 40

Marek Rei

NOVEMBER 12, 2019

Below you will find short summaries of a number of different research papers published in the areas of Machine Learning and Natural Language Processing in the past couple of years (2017-2019). This process is iteratively repeated until end tokens are generated, either for each slot or for the whole sequence.

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