Towards AI

OCTOBER 18, 2024

Many neural network approaches have been developed to convert the data into numerical representation. Textual… Read the full blog for free on Medium. The main theme is that it can contain semantic and meaningful contextual information about the objects so that ML algorithms can efficiently analyze and understand the data.

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Mlearning.ai

APRIL 21, 2023

Natural Language Processing Transformers, the neural network architecture, that has taken the world of natural language processing (NLP) by storm, is a class of models that can be used for both language and image processing. In this blog, we will take a deep dive into the history, evolution, and current status of Transformers.

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Towards AI

JULY 19, 2023

Ivan Aivazovsky — Istanbul NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.06.20 In a recent blog post, Yufeng Li discusses this compression technique and how awesome it is to reduce latency on your models in production!! nlp("Transformers and onnx runtime is an awesome combo!")

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Heartbeat

FEBRUARY 7, 2023

image by rawpixel.com Understanding the concept of language models in natural language processing (NLP) is very important to anyone working in the Deep learning and machine learning space. They are essential to a variety of NLP activities, including speech recognition, machine translation, and text summarization.

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Analytics Vidhya

DECEMBER 28, 2021

This article was published as a part of the Data Science Blogathon Objective In this blog, we will learn how to Fine-tune a Pre-trained BERT model for the Sentiment analysis task.

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Pickl AI

NOVEMBER 22, 2024

Summary: Long Short-Term Memory (LSTM) networks are a specialised form of Recurrent Neural Networks (RNNs) that excel in learning long-term dependencies in sequential data. Understanding Recurrent Neural Networks (RNNs) To appreciate LSTMs, it’s essential to understand RNNs.

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Heartbeat

JUNE 6, 2023

Photo by GuerrillaBuzz on Unsplash Graph Convolutional Networks (GCNs) are a type of neural network that operates on graphs, which are mathematical structures consisting of nodes and edges. GCNs have been successfully applied to many domains, including computer vision and social network analysis.

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John Snow Labs

APRIL 30, 2024

In this article, we will explore the significance of table extraction and demonstrate the application of John Snow Labs’ NLP library with visual features installed for this purpose. We will delve into the key components within the John Snow Labs NLP pipeline that facilitate table extraction. How does Visual NLP come into action?

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IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. AI studio The post Five machine learning types to know appeared first on IBM Blog. Explore the watsonx.ai

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Heartbeat

NOVEMBER 21, 2023

One of the most significant breakthroughs in this field is the convolutional neural network (CNN). In stark contrast, deep learning algorithms take a radically different approach, particularly convolutional neural networks (CNNs).

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AI News

JULY 22, 2024

According to a sportbet.one blog , the AI in sports market is projected to reach $3.5 Machine learning models, such as regression analysis, neural networks, and decision trees, are employed to analyse historical data and predict future outcomes.

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Towards AI

MAY 10, 2024

Speech-to-text with a neural network running locallyImage by Mark Anderson If you’ve watched the Iron Man movies, you’re well aware of the how helpful Jarvis can be. Speech to text (as well as text to speech) are natural language processing problems, which is often shortened to the acronym, NLP.

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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). The journey begins with understanding NLP basics, covering essential concepts, techniques, and algorithms. Join thousands of data leaders on the AI newsletter.

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Topbots

APRIL 11, 2023

BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers. This model marked a new era in NLP with pre-training of language models becoming a new standard. What is the goal? accuracy on SQuAD 1.1

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John Snow Labs

MAY 25, 2023

Rule-based sentiment analysis in Natural Language Processing (NLP) is a method of sentiment analysis that uses a set of manually-defined rules to identify and extract subjective information from text data. Using Spark NLP, it is possible to analyze the sentiment in a text with high accuracy.

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Heartbeat

MARCH 15, 2023

But now, a computer can be taught to comprehend and process human language through Natural Language Processing (NLP), which was implemented, to make computers capable of understanding spoken and written language. How RoBERTa Works It works by pre-training a deep neural network on a large corpus of text.

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IBM Journey to AI blog

AUGUST 13, 2024

Where it all started During the second half of the 20 th century, IBM researchers used popular games such as checkers and backgammon to train some of the earliest neural networks, developing technologies that would become the basis for 21 st -century AI. Elevate your AI with IBM watsonx. Train, deploy and scale models effortlessly.

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Towards AI

FEBRUARY 20, 2024

Exploring the encoder-decoder magic in NLP behind LLMsImage created by the author. The state-of-the-art Natural Language Processing (NLP) models used to be Recurrent Neural Networks (RNN) among others. Author(s): Dimitris Effrosynidis Originally published on Towards AI. And then came Transformers.

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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. We will discuss each of these architectures in detail.

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Towards AI

JUNE 6, 2023

Since then, we have seen significant progress in all aspects, including Computer vision, NLP, … Attentions are considered a more powerful and capable version of Neural Networks for generalization on big datasets and are nothing more than routing between keys (K) and queries (Q), then non-linearity (Softmax), and then values (V).

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Pickl AI

APRIL 25, 2023

The following blog hence will contain detailed information on the 5 Important Subsets of AI (Artificial Intelligence). There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. What is Neural Network? What is NLP?

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Mlearning.ai

MAY 5, 2023

In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI. NLP researchers focused on developing statistical models that could process and generate text based on patterns and probabilities, rather than strict rules. I think GPT-3 is as intelligent as a human.

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Flipboard

MARCH 27, 2023

Project Structure Accelerating Convolutional Neural Networks Parsing Command Line Arguments and Running a Model Evaluating Convolutional Neural Networks Accelerating Vision Transformers Evaluating Vision Transformers Accelerating BERT Evaluating BERT Miscellaneous Summary Citation Information What’s New in PyTorch 2.0?

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John Snow Labs

MAY 26, 2023

Transformers, a type of neural network architecture, are a popular method for generating these embeddings. Transformers have revolutionized the field of NLP by enabling the creation of language models that can understand context and generate coherent text, and sentence embeddings are one of the many applications of this technology.

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Becoming Human

MAY 15, 2023

When it comes to AI, there are a number of subfields, like Natural Language Processing (NLP). One of the models used for NLP is the Large Language Model (LLMs). As a result, LLMs have become a key tool for a wide range of NLP applications. This data comes everywhere, including articles, blogs, news sites, and journals.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. With text to speech and NLP, AI can respond immediately to texted queries and instructions. Humanize HR AI can attract, develop and retain a skills-first workforce.

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Natural Language Processing @ Sapienza

FEBRUARY 6, 2024

Welcome to the Sapienza NLP course blog 2024! Cool things about to happen: The course will contain lots of up-to-date content on deep learning , neural networks , Large Language Model, and an improved hands-on with PyTorch ! We will include the most recent additions (including from 2024) from the world of NLP!

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Pickl AI

NOVEMBER 20, 2024

This blog discusses key Linear Algebra concepts, their practical applications in data preprocessing and model training, and real-world examples that illustrate how these mathematical principles drive advancements in various Machine Learning tasks. Example In Natural Language Processing (NLP), word embeddings are often represented as vectors.

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Towards AI

OCTOBER 8, 2023

This is exactly what this blog post is intended for. We’ll start from neural networks, brush up on deep learning, figure out what the heck is NLP, and eventually, after the not-so-painstaking process, learn about the working of large language models. What are neural networks? Fret no more!

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NYU Center for Data Science

DECEMBER 7, 2022

The NLP Community Survey , which asks many of these questions and more, was conducted from May to June 2022. The survey covers over thirty potentially controversial positions on NLP, tackling concerns often raised about AGI (artificial general intelligence) and ethics. What Do NLP Researchers Believe? Kind of like humans.

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Unite.AI

MARCH 21, 2024

In the world of natural language processing (NLP), the pursuit of building larger and more capable language models has been a driving force behind many recent advancements. In this technical blog, we'll delve into the world of MoE, exploring its origins, inner workings, and its applications in transformer-based language models.

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Pickl AI

SEPTEMBER 10, 2024

Despite its limitations, the Perceptron laid the groundwork for more complex neural networks and Deep Learning advancements. It represents the earliest form of neural networks and has paved the way for more complex architectures in Deep Learning.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). It uses deep learning algorithms and large neural networks trained on vast datasets of diverse existing source code.

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AssemblyAI

MAY 3, 2023

These architectures are based on artificial neural networks , which are computational models loosely inspired by the structure and functioning of biological neural networks, such as those in the human brain. A simple artificial neural network consisting of three layers.

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Viso.ai

JULY 18, 2024

LLMs apply powerful Natural Language Processing (NLP), machine translation, and Visual Question Answering (VQA). This early research was not about designing a system but exploring the fundamentals of Artificial Neural Networks. However, the first actual language model was a rule-based model developed in the 1950s.

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ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out his talk, “ Bagging to BERT — A Tour of Applied NLP ,” there! It’s always good to start a blog post with a joke (even if it’s not a very good one): Why is this funny? If a Natural Language Processing (NLP) system does not have that context, we’d expect it not to get the joke. It’s all about context!

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NLP People

APRIL 10, 2019

It’s Institute of Computational Linguistics , which includes the Phonetics Laboratory , lead by Martin Volk and Volker Dellwo, as well as the URPP Language and Space perform research in NLP topics, such as machine translation, sentiment analysis, speech recognition and dialect detection. University of St. Gallen The University of St.

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