Analytics Vidhya

MARCH 30, 2024

Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks.

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BERT Natural Language Processing Large Language Models NLP 348

Towards AI

SEPTEMBER 5, 2023

Last Updated on September 6, 2023 by Editorial Team Author(s): Manas Joshi Originally published on Towards AI. A few years back, two groundbreaking models, BERT and GPT, emerged as game-changers. However, as is the nature of technology, innovation doesn’t stop. Together, BERT and GPT set the stage, creating a new era in NLP.

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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.

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SAS Software

MARCH 21, 2023

SAS' Ali Dixon and Mary Osborne reveal why a BERT-based classifier is now part of our natural language processing capabilities of SAS Viya. The post How natural language processing transformers can provide BERT-based sentiment classification on March Madness appeared first on SAS Blogs.

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Marktechpost

MAY 3, 2024

Natural Language Processing (NLP) is integral to artificial intelligence, enabling seamless communication between humans and computers. Researchers from East China University of Science and Technology and Peking University have surveyed the integrated retrieval-augmented approaches to language models.

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Unite.AI

MARCH 24, 2024

In a significant leap forward for artificial intelligence (AI), a team from the University of Geneva (UNIGE) has successfully developed a model that emulates a uniquely human trait: performing tasks based on verbal or written instructions and subsequently communicating them to others.

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Marktechpost

MAY 27, 2024

Knowledge-intensive Natural Language Processing (NLP) involves tasks requiring deep understanding and manipulation of extensive factual information. General-purpose architectures like BERT, GPT-2, and BART perform strongly on various NLP tasks. If you like our work, you will love our newsletter.

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Natural Language Processing NLP BERT AI Researcher 126

AI Weekly

JULY 27, 2023

In the News 10 Thought-Provoking Novels About AI Although we’re probably still a long way off from the sentient forms of AI that are depicted in film and literature, we can turn to fiction to probe the questions raised by these technological advancements (and also to read great sci-fi stories!). to power those data centers.

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Unite.AI

NOVEMBER 11, 2024

Machines are demonstrating remarkable capabilities as Artificial Intelligence (AI) advances, particularly with Large Language Models (LLMs). They process and generate text that mimics human communication. At the leading edge of Natural Language Processing (NLP) , models like GPT-4 are trained on vast datasets.

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AWS Machine Learning Blog

APRIL 4, 2025

This post explores how Lumi uses Amazon SageMaker AI to meet this goal, enhance their transaction processing and classification capabilities, and ultimately grow their business by providing faster processing of loan applications, more accurate credit decisions, and improved customer experience.

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Unite.AI

OCTOBER 11, 2023

For large-scale Generative AI applications to work effectively, it needs good system to handle a lot of data. Scalable for Large Datasets : As AI and machine learning applications continue to grow, so does the amount of data they process. Generative AI and The Need for Vector Databases Generative AI often involves embeddings.

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Towards AI

OCTOBER 19, 2024

Last Updated on October 20, 2024 by Editorial Team Author(s): Anoop Maurya Originally published on Towards AI. Photo by Amr Taha™ on Unsplash In the realm of artificial intelligence, the emergence of transformer models has revolutionized natural language processing (NLP). Published via Towards AI

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Marktechpost

JANUARY 10, 2024

BERT is a language model which was released by Google in 2018. However, in the past half a decade, many significant advancements have been made with other types of architectures and training configurations that have yet to be incorporated into BERT. BERT-Base reached an average GLUE score of 83.2% hours compared to 23.35

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Analytics Vidhya

FEBRUARY 4, 2023

Introduction Artificial Intelligence (AI) has been making significant strides in various industries, and healthcare is no exception.

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Marktechpost

MARCH 3, 2025

Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. For example, GTEs contrastive learning boosts retrieval performance but cannot compensate for BERTs obsolete embeddings.

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Towards AI

JUNE 12, 2024

Last Updated on June 13, 2024 by Editorial Team Author(s): Thiongo John W Originally published on Towards AI. Photo by david clarke on Unsplash The most recent breakthroughs in language models have been the use of neural network architectures to represent text. Both BERT and GPT are based on the Transformer architecture.

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BERT Neural Network Natural Language Processing NLP 105

Marktechpost

SEPTEMBER 14, 2024

Researchers have focused on developing and building models to process and compare human language in natural language processing efficiently. This technology is crucial for semantic search, clustering, and natural language inference tasks.

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Unite.AI

SEPTEMBER 20, 2023

Hugging Face is an AI research lab and hub that has built a community of scholars, researchers, and enthusiasts. In a short span of time, Hugging Face has garnered a substantial presence in the AI space. This discovery fueled the development of large language models like ChatGPT. These are deep learning models used in NLP.

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Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset. billion in 2023.

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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

AWS Machine Learning Blog

JANUARY 19, 2024

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. First, we use an Amazon SageMaker Studio notebook to fine-tune a pre-trained BERT model on a target task using a domain-specific dataset.

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Analytics Vidhya

AUGUST 29, 2023

Introduction Embark on a journey through the evolution of artificial intelligence and the astounding strides made in Natural Language Processing (NLP). In a mere blink, AI has surged, shaping our world.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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Marktechpost

APRIL 21, 2024

The following six free AI courses offer a structured pathway for beginners to start their journey into the world of artificial intelligence. Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods.

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Unite.AI

JUNE 5, 2024

Artificial Intelligence (AI) has seen tremendous growth, transforming industries from healthcare to finance. AI models are expected to exceed 100 trillion parameters, pushing the limits of current hardware capabilities. These issues can hinder the widespread adoption of AI technologies.

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Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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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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Unite.AI

APRIL 17, 2024

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. Beyond traditional search engines, these models represent a new era of intelligent Web browsing agents that go beyond simple keyword searches.

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Marktechpost

NOVEMBER 10, 2023

NLP, or Natural Language Processing, is a field of AI focusing on human-computer interaction using language. NLP aims to make computers understand, interpret, and generate human language. This process enhances data diversity. Prepare a novel dataset (Dn) with only a few labeled samples.

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Unite.AI

DECEMBER 4, 2023

In the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a long time, a silent but groundbreaking shift is taking place. Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts.

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Large Language Models BERT Neural Network Natural Language Processing 217

Unite.AI

SEPTEMBER 18, 2023

In this article, we will be talking about how the collaboration between AI and blockchain gives birth to numerous privacy protection techniques, and their application in different verticals including de-identification, data encryption, k-anonymity, and multi-tier distributed ledger methods.

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Pickl AI

APRIL 6, 2025

Neural Networks are foundational structures, while Deep Learning involves complex, layered networks like CNNs and RNNs, enabling advanced AI capabilities such as image recognition and natural language processing. Deep Learning Complexity : Involves multiple layers for advanced AI tasks. BERT) and decoder-only (e.g.,

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Marktechpost

MAY 5, 2024

However, the computational complexity associated with these mechanisms scales quadratically with sequence length, which becomes a significant bottleneck when managing long-context tasks such as genomics and natural language processing. Compared to the BERT-base, the Orchid-BERT-base has 30% fewer parameters yet achieves a 1.0-point

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IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data.

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Unite.AI

AUGUST 2, 2023

These limitations are a major issue why an average human mind is able to learn from a single type of data much more effectively when compared to an AI model that relies on separate models & training data to distinguish between an image, text, and speech. Why Does the AI Industry Need the Data2Vec Algorithm?

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Typically, the generative AI model provides a prompt describing the desired data, and the ensuing response contains the extracted data.

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