insideBIGDATA

FEBRUARY 15, 2023

This paper is a major turning point in deep learning research. The transformer architecture, which was introduced in this paper, is now used in a variety of state-of-the-art models in natural language processing and beyond. Transformers are the basis of the large language models (LLMs) we're seeing today.

Natural Language Processing 497

Natural Language Processing Deep Learning Deep Learning Big Data 497

Analytics Vidhya

JANUARY 5, 2022

This article was published as a part of the Data Science Blogathon. Objective This blog post will learn how to use the Hugging face transformers functions to perform prolonged Natural Language Processing tasks.

Natural Language Processing 318

Natural Language Processing Deep Learning Deep Learning Data Science 318

Analytics Vidhya

JUNE 6, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hello friends, In this article, we will discuss End to End NLP pipeline in an easy way. If we have to build any NLP-based software using Machine Learning or Deep Learning then we can use this pipeline.

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Natural Language Processing Deep Learning Deep Learning Machine Learning 343

Analytics Vidhya

OCTOBER 12, 2023

Introduction In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon, Google’s Palm, etc., LLMs use deep learning techniques to perform natural language processing tasks.

Database 353

Database Natural Language Processing Deep Learning Deep Learning 353

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Deep learning, natural language processing, and computer vision are examples […].

Data Science 319

Data Science Natural Language Processing Deep Learning Deep Learning 319

Analytics Vidhya

DECEMBER 15, 2019

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.

Natural Language Processing 400

Natural Language Processing Analytics Analytics AI 400

Analytics Vidhya

DECEMBER 3, 2019

Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core. The post Create Natural Language Processing-based Apps for iOS in Minutes! Overview Intrigued by Apple’s iOS apps?

Natural Language Processing 181

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insideBIGDATA

DECEMBER 22, 2023

In this contributed article, consultant and thought leader Richard Shan, believes that generative AI holds immense potential to transform information technology, offering innovative solutions for content generation, programming assistance, and natural language processing.

Natural Language Processing 434

Natural Language Processing AI AI Big Data 434

Machine Learning Mastery

MARCH 28, 2025

Transformer is a deep learning architecture that is very popular in natural language processing (NLP) tasks. It is a type of neural network that is designed to process sequential data, such as text. In this article, we will explore the concept of attention and the transformer architecture.

Natural Language Processing 278

Natural Language Processing Deep Learning Deep Learning 278

Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. They are able to learn long-range dependencies between words in a sentence, which makes them very powerful for tasks such as machine translation, text summarization, and question answering.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195

Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. They are able to learn long-range dependencies between words in a sentence, which makes them very powerful for tasks such as machine translation, text summarization, and question answering.

Natural Language Processing 195

Natural Language Processing Decision Trees Deep Learning Deep Learning 195

Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” ” Then I began to write a brief response.

Natural Language Processing 400

Natural Language Processing Data Science Analytics Analytics 400

Analytics Vidhya

AUGUST 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: [link] Natural language processing has been an area of research. The post Predict the next word of your text using Long Short Term Memory (LSTM) appeared first on Analytics Vidhya.

Natural Language Processing 343

Natural Language Processing Data Science Analytics Analytics 343

Analytics Vidhya

SEPTEMBER 20, 2023

Introduction Diffusion Models have gained significant attention recently, particularly in Natural Language Processing (NLP). Based on the concept of diffusing noise through data, these models have shown remarkable capabilities in various NLP tasks.

Natural Language Processing 357

Natural Language Processing Analytics Analytics Deep Learning 357

Analytics Vidhya

MARCH 5, 2024

Introduction ChatGPT, powered by OpenAI, has revolutionized online conversations by providing a natural language processing interface. This article will explore the 10 best ChatGPT plugins to […] The post 10 Best ChatGPT Plugins For Enhancing Productivity appeared first on Analytics Vidhya.

Natural Language Processing 319

Natural Language Processing Analytics Analytics Deep Learning 319

Pickl AI

JANUARY 29, 2025

Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. What is Deep Learning?

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Artificial Intelligence 52

Analytics Vidhya

JULY 21, 2023

Introduction Recent advances in natural language processing (NLP) are essential for data scientists to stay on top. We will examine the 8 best NLP books in this article, which are essential reading for data scientists.

Data Scientist 271

Data Scientist Natural Language Processing Analytics Analytics 271

Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Transformers were one of the game-changer advancements in Natural language processing in the last decade.

Data Science 303

Data Science Natural Language Processing Analytics Analytics 303

Analytics Vidhya

DECEMBER 30, 2022

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages. Natural language processing (NLP) is […].

Natural Language Processing 316

Natural Language Processing Analytics Analytics Computer Science 316

insideBIGDATA

SEPTEMBER 14, 2023

benchmark results confirm DDN storage solutions as the gold standard for AI and machine learning applications. The MLPerfTM Storage v0.5

Natural Language Processing 243

Natural Language Processing Machine Learning Machine Learning Cloud Data 243

Flipboard

JUNE 16, 2025

By Iván Palomares Carrascosa , KDnuggets Technical Content Specialist on June 16, 2025 in Language Models Image by Author | Ideogram Introduction Large language models have revolutionized the entire artificial intelligence landscape in the recent few years, marking the beginning of a new era in AI history.

Natural Language Processing 140

Natural Language Processing Data Science Machine Learning Machine Learning 140

Data Science Dojo

JULY 2, 2023

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). Transformers, a type of Deep Learning model, have played a crucial role in the rise of LLMs.

Natural Language Processing 369

Natural Language Processing Deep Learning Deep Learning Predictive Analytics 369

Data Science Dojo

NOVEMBER 10, 2023

Transformers are a type of neural network architecture that is particularly well-suited for natural language processing tasks, such as text generation and translation. Jax: Jax is a high-performance numerical computation library for Python with a focus on machine learning and deep learning research.

Python 524

Python Machine Learning Machine Learning AI 524

Dataversity

DECEMBER 16, 2020

Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis.

Deep Learning 98

Deep Learning Deep Learning Natural Language Processing Big Data 98

insideBIGDATA

JANUARY 28, 2023

Deci, the deep learning company building the next generation of AI, announced a breakthrough performance on Intel’s newly released 4th Gen Intel® Xeon® Scalable processors, code-named Sapphire Rapids.

Natural Language Processing 186

Natural Language Processing Deep Learning Deep Learning AI 186

Analytics Vidhya

JUNE 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a field at the convergence. The post Language Translation with Transformer In Python! appeared first on Analytics Vidhya.

Python 182

Python Natural Language Processing Data Science Analytics 182

Towards AI

NOVEMBER 19, 2023

Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do. In this article, we will breakdown each concept in greater detail.

Deep Learning 126

Deep Learning Deep Learning Natural Language Processing Predictive Analytics 126

How to Learn Machine Learning

MAY 7, 2025

In the world of AI, you might hear a lot of Machine Learning vs Deep Learning. In this article we will tackle all of these points, so sit back, relax, and enjoy! Introduction to Deep Learning vs Machine Learning To a lot of people, the terms Deep Learning and Machine Learning seem like buzzwords in the AI world.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Data Science Dojo

SEPTEMBER 8, 2023

This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. We’ll dive into the core concepts of AI, with a special focus on Machine Learning and Deep Learning, highlighting their essential distinctions.

Predictive Analytics 243

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Data Science Dojo

JULY 26, 2023

In this article, we are getting an overview of LLM and some of the best Large Language Models that exist today. AI’s remarkable language capabilities, driven by advancements in Natural Language Processing (NLP) and Large Language Models (LLMs) like ChatGPT from OpenAI, have contributed to its popularity.

Natural Language Processing 195

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 195

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. In this post, I’ll be demonstrating two deep learning approaches to sentiment analysis. Deep learning refers to the use of neural network architectures, characterized by their multi-layer design (i.e.

Deep Learning 98

Deep Learning Deep Learning Data Science Natural Language Processing 98

Flipboard

JUNE 13, 2025

Key languages include: Python: Known for its simplicity and versatility, Python is the most widely used language in AI. Its extensive libraries, such as TensorFlow, PyTorch, and Scikit-learn, streamline the development of machine learning and deep learning models. Learn about our Disclosure Policy.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

Defined.ai blog

SEPTEMBER 21, 2023

That’s the power of Natural Language Processing (NLP) at work. In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. What is Natural Language Processing?

Natural Language Processing 52

Natural Language Processing Data Mining Data Mining Data Mining 52

Dataconomy

FEBRUARY 28, 2023

Deep learning models have emerged as a powerful tool in the field of ML, enabling computers to learn from vast amounts of data and make decisions based on that learning. In this article, we will explore the importance of deep learning models and their applications in various fields.

Deep Learning 70

Deep Learning Deep Learning Natural Language Processing ML 70

Towards AI

MAY 11, 2023

Table of Contents: Mastering Large Language Models (LLMs) is a compelling endeavor in the realm of Natural Language Processing (NLP). Whether you’re new to the field or have some experience, this article presents a step-by-step study plan to guide you from a novice to an expert in LLMs.

Natural Language Processing 98

Natural Language Processing Deep Learning Deep Learning Algorithm 98

Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. 2, What does lack of data or labels mean in the first place?

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Data Science 101

NOVEMBER 29, 2019

Amazon Comprehend launches real-time classification Amazon Comprehend is a service which uses Natural Language Processing (NLP) to examine documents. Document classification no longer needs to be performed in batch processes. It is based upon this article: Preparing and curating your data for machine learning.

Cloud Data 115

Cloud Data Data Science Machine Learning Machine Learning 115