Pickl AI

APRIL 6, 2025

Summary: Deep Learning vs Neural Network is a common comparison in the field of artificial intelligence, as the two terms are often used interchangeably. Introduction Deep Learning and Neural Networks are like a sports team and its star player. Deep Learning Complexity : Involves multiple layers for advanced AI tasks.

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Neural Network Deep Learning Natural Language Processing Convolutional Neural Networks 52

Analytics Vidhya

FEBRUARY 4, 2023

One of the most promising areas within AI in healthcare is Natural Language Processing (NLP), which has the potential to revolutionize patient care by facilitating more efficient and accurate data analysis and communication.

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NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 291

Analytics Vidhya

AUGUST 27, 2019

Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google. The post A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic) appeared first on Analytics Vidhya.

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Natural Language Processing NLP BERT Deep Learning 308

Analytics Vidhya

APRIL 16, 2024

Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017. These linguistic marvels, armed with self-attention mechanisms, revolutionize how machines understand language, from translating texts to analyzing sentiments.

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Natural Language Processing NLP Deep Learning BERT 346

Unite.AI

SEPTEMBER 20, 2023

Transformers in NLP In 2017, Cornell University published an influential paper that introduced transformers. These are deep learning models used in NLP. Hugging Face , started in 2016, aims to make NLP models accessible to everyone. This discovery fueled the development of large language models like ChatGPT.

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LLM NLP BERT Python 342

Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). GPT, BERT) Image Generation (e.g., Programming: Learn Python, as its the most widely used language in AI/ML.

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AI Engineer Generative AI Neural Network BERT 98

Pickl AI

JANUARY 26, 2025

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. With a projected market growth from USD 6.4

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Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

Marktechpost

MAY 5, 2024

In deep learning, especially in NLP, image analysis, and biology, there is an increasing focus on developing models that offer both computational efficiency and robust expressiveness. The model outperforms traditional attention-based models, such as BERT and Vision Transformers, across domains with smaller model sizes.

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Deep Learning BERT Neural Network Natural Language Processing 134

Analytics Vidhya

OCTOBER 10, 2019

The post 7 Amazing NLP Hack Sessions to Watch out for at DataHack Summit 2019 appeared first on Analytics Vidhya. Picture a world where: Machines are able to have human-level conversations with us Computers understand the context of the conversation without having to be.

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NLP Natural Language Processing BERT Deep Learning 234

Towards AI

OCTOBER 19, 2024

Photo by Amr Taha™ on Unsplash In the realm of artificial intelligence, the emergence of transformer models has revolutionized natural language processing (NLP). In this guide, we will explore how to fine-tune BERT, a model with 110 million parameters, specifically for the task of phishing URL detection.

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BERT Natural Language Processing Deep Learning Machine Learning 105

AWS Machine Learning Blog

MAY 15, 2024

Bfloat16 accelerated SGEMM kernels and int8 MMLA accelerated Quantized GEMM (QGEMM) kernels in ONNX have improved inference performance by up to 65% for fp32 inference and up to 30% for int8 quantized inference for several natural language processing (NLP) models on AWS Graviton3-based Amazon Elastic Compute Cloud (Amazon EC2) instances.

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NLP BERT Natural Language Processing Python 131

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise.

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NLP Data Science Deep Learning BERT 111

Analytics Vidhya

SEPTEMBER 6, 2023

Introduction Welcome to the transformative world of Natural Language Processing (NLP). The unseen force of NLP powers many of the digital interactions we rely on. Here, the elegance of human language meets the precision of machine intelligence.

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Natural Language Processing NLP Chatbots BERT 357

Marktechpost

AUGUST 7, 2023

Language model pretraining has significantly advanced the field of Natural Language Processing (NLP) and Natural Language Understanding (NLU). Models like GPT, BERT, and PaLM are getting popular for all the good reasons. Models like GPT, BERT, and PaLM are getting popular for all the good reasons.

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BERT NLP Natural Language Processing Large Language Models 98

Towards AI

JULY 21, 2023

Photo by adrianna geo on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.23.20 If you haven’t heard, we released the NLP Model Forge ? NLP Model Forge So… the NLP Model Forge, a collection of 1,400 NLP code snippets that you can seamlessly select to run inference in Colab!

NLP 98

NLP BERT Deep Learning Natural Language Processing 98

Unite.AI

MAY 29, 2024

With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction.

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Data Extraction Neural Network Large Language Models NLP 273

Marek Rei

NOVEMBER 4, 2024

Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente. link] An opinion paper on deep learning models in connection to the Theory of Mind – the skill of humans to understand the minds of others, imagine that they might have hidden knowledge or emotions.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Unite.AI

SEPTEMBER 18, 2023

Artificial Intelligence is a very vast branch in itself with numerous subfields including deep learning, computer vision , natural language processing , and more. NLP in particular has been a subfield that has been focussed heavily in the past few years that has resulted in the development of some top-notch LLMs like GPT and BERT.

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IBM Journey to AI blog

MARCH 27, 2024

In recent years, remarkable strides have been achieved in crafting extensive foundation language models for natural language processing (NLP). These innovations have showcased strong performance in comparison to conventional machine learning (ML) models, particularly in scenarios where labelled data is in short supply.

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ESG Categorization Large Language Models NLP 238

Unite.AI

SEPTEMBER 25, 2023

However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech. Today platforms like Spotify are leveraging AI to fine-tune their users' listening experiences.

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Generative AI Deep Learning Algorithm AI 296

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out his talk, “ Bagging to BERT — A Tour of Applied NLP ,” there! 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” architecture).

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Deep Learning Convolutional Neural Networks NLP Neural Network 98

Lexalytics

JULY 12, 2023

And in 2021, we were acquired by leading CX provider InMoment, signaling an acknowledgement in the industry of the growing importance of AI and NLP in understanding and combining all forms of feedback and data.

NLP 98

NLP Text Analytics Natural Language Processing BERT 98

Marktechpost

MAY 3, 2024

Natural Language Processing (NLP) is integral to artificial intelligence, enabling seamless communication between humans and computers. Traditional NLP methods like CNN, RNN, and LSTM have evolved with transformer architecture and large language models (LLMs) like GPT and BERT families, providing significant advancements in the field.

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Natural Language Processing Large Language Models Categorization BERT 138

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. This article will explain to you in detail about RoBERTa and if you do not know about BERT please click on the associated link.

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BERT NLP Deep Learning Neural Network 52

Towards AI

JULY 21, 2023

Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.09.20 What is the state of NLP? Deep learning and semantic parsing, do we still care about information extraction? For an overview of some tasks, see NLP Progress or our XTREME benchmark.

NLP 98

NLP Auto-complete Natural Language Processing BERT 98

Unite.AI

JULY 11, 2023

Introduction To Image Generation Image Source Course difficulty: Beginner-level Completion time: ~ 1 day (Complete the quiz/lab in your own time) Prerequisites: Knowledge of ML, Deep Learning (DL), Convolutional Neural Nets (CNNs), and Python programming. What will AI enthusiasts learn? What will AI enthusiasts learn?

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Generative AI BERT Natural Language Processing Large Language Models 189

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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NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

Topbots

APRIL 11, 2023

We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. 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.

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NLP BERT Large Language Models Natural Language Processing 98

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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Neural Network Convolutional Neural Networks BERT Deep Learning 158

AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. If not, refer to Using the SageMaker Python SDK before continuing.

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Deep Learning Conversational AI Natural Language Processing BERT 107

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

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Auto-complete ChatGPT Large Language Models Neural Network 240

Towards AI

JULY 20, 2023

It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. Semi) automated data extraction for SLRs through NLP Researchers can deploy a variety of ML and NLP techniques to help mitigate these challenges. This study by Bui et al.

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Data Extraction NLP Natural Language Processing Automation 98

Unite.AI

DECEMBER 1, 2023

Exploring the Techniques of LIME and SHAP Interpretability in machine learning (ML) and deep learning (DL) models helps us see into opaque inner workings of these advanced models. Flawed Decision Making The opaqueness in the decision-making process of LLMs like GPT-3 or BERT can lead to undetected biases and errors.

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LLM Machine Learning Explainability Algorithm 264

ODSC - Open Data Science

APRIL 11, 2023

A lot goes into NLP. Going beyond NLP platforms and skills alone, having expertise in novel processes, and staying afoot in the latest research are becoming pivotal for effective NLP implementation. We have seen these techniques advancing multiple fields in AI such as NLP, Computer Vision, and Robotics.

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NLP Data Science Large Language Models Data Scientist 96

Mlearning.ai

MARCH 2, 2023

Pre-training of Deep Bidirectional Transformers for Language Understanding BERT is a language model that can be fine-tuned for various NLP tasks and at the time of publication achieved several state-of-the-art results. Finally, the impact of the paper and applications of BERT are evaluated from today’s perspective.

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BERT NLP Deep Learning Neural Network 52

ODSC - Open Data Science

MARCH 10, 2025

By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. They can also perform self-supervised learning to generalize and apply their knowledge to new tasks. An open-source model, Google created BERT in 2018.

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