Analytics Vidhya

OCTOBER 19, 2022

Source: Canva Introduction In 2018, Google AI researchers came up with BERT, which revolutionized the NLP domain. Later in 2019, the researchers proposed the ALBERT (“A Lite BERT”) model for self-supervised learning of language representations, which shares the same architectural backbone as BERT.

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Analytics Vidhya

JANUARY 20, 2025

Since its introduction in 2018, BERT has transformed Natural Language Processing. Using bidirectional training and transformer-based self-attention, BERT introduced a new way to understand relationships between words in text. However, despite its success, BERT has limitations.

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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. NLP has proven to be […] The post Extracting Medical Information From Clinical Text With NLP appeared first on Analytics Vidhya.

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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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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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Marktechpost

NOVEMBER 16, 2024

The rapid advancements in Generative AI have underscored the importance of text embeddings. This extensive training allows the embeddings to capture semantic meanings effectively, enabling advanced NLP tasks. Regular Updates: New models and capabilities are frequently added, reflecting the latest advancements in AI research.

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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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Towards AI

DECEMBER 23, 2024

Last Updated on December 24, 2024 by Editorial Team Author(s): Shenggang Li Originally published on Towards AI. These concepts are the foundation of cutting-edge NLP, and once you grasp them, youll see why theyre so powerful and versatile. Thats kind of what Transformers do in NLP. Published via Towards AI

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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. Transformers in NLP In 2017, Cornell University published an influential paper that introduced transformers.

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Towards AI

OCTOBER 29, 2024

Last Updated on October 31, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. Dive into the world of NLP and learn how to analyze emotions in text with a few lines of code! That’s a bit like what BERT does — except instead of people, it reads text. Published via Towards AI

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Towards AI

JANUARY 29, 2025

Last Updated on January 29, 2025 by Editorial Team Author(s): Vishwajeet Originally published on Towards AI. How to Become a Generative AI Engineer in 2025? From creating art and music to generating human-like text and designing virtual worlds, Generative AI is reshaping industries and opening up new possibilities.

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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

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. Just as smartphones have seen numerous upgrades and newer models, the domain of NLP is also advancing rapidly. Their impact?

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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). Join thousands of data leaders on the AI newsletter.

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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). At the leading edge of Natural Language Processing (NLP) , models like GPT-4 are trained on vast datasets. They process and generate text that mimics human communication. How Human Memory Works?

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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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Towards AI

OCTOBER 31, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! We’re also excited to share updates on Building LLMs for Production, now available on our own platform: Towards AI Academy. Louis-François Bouchard, Towards AI Co-founder & Head of Community 🎉 Great news!

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Marktechpost

JANUARY 10, 2024

BERT is a language model which was released by Google in 2018. As such, it has been the powerhouse of numerous natural language processing (NLP) applications since its inception, and even in the age of large language models (LLMs), BERT-style encoder models are used in tasks like vector embeddings and retrieval augmented generation (RAG).

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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. Both BERT and GPT are based on the Transformer architecture. Word embedding is a technique in natural language processing (NLP) where words are represented as vectors in a continuous vector space. What is Word Embedding?

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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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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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Marktechpost

MAY 23, 2024

Natural language processing (NLP) is a field dedicated to enabling computers to understand, interpret, and generate human language. The most promising tools in NLP are transformer-based models. These models, such as BERT and GPT, use DL techniques to understand and generate text.

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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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AI Weekly

JANUARY 4, 2024

Powered by superai.com In the News Top AI Podcasts in 2024 In this article, we will explore the top AI podcasts for 2024 that offer insightful discussions, interviews, news, trends, and expert insights in the field of artificial intelligence.

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Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Mukundan Sankar Originally published on Towards AI. How Retrieval-Augmented Generation (RAG) Can Boost NLP Projects with Real-Time Data for Smarter AI Models This member-only story is on us. Join thousands of data leaders on the AI newsletter.

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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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Towards AI

JULY 21, 2023

Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. 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 ? Fury What a week. Let’s recap.

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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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Marek Rei

NOVEMBER 4, 2024

The University of Hong Kong, Shanghai Jiao Tong University, University of Washington, AllenAI, University of Waterloo, Salesforce Research, Yale University, Meta AI. Comcast Applied AI, UCL, University of Waterloo. Tsinghua University, ModelBest, Renmin University of China, Yale University, WeChat AI, Tencent, Zhihu. EMNLP 2023.

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Towards AI

JULY 21, 2023

Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. Ivan Aivazovsky — Istanbul NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.06.20 nlp("Transformers and onnx runtime is an awesome combo!") Time to say goodbye to Summer. ?

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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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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, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP). However, LLMs are also very different from other models.

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Marktechpost

APRIL 21, 2024

Embedding models are fundamental tools in natural language processing (NLP), providing the backbone for applications like information retrieval and retrieval-augmented generation. Existing research in NLP embedding models has progressively focused on extending context capabilities. If you like our work, you will love our newsletter.

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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. These models, characterized by their large number of parameters and training on extensive text corpora, signify an innovative advancement in NLP capabilities.

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IBM Journey to AI blog

JANUARY 25, 2024

We expect technologies such as artificial intelligence (AI) to not lie to us, to not discriminate, and to be safe for us and our children to use. Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. Consider the diversity prediction theorem.

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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

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. Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text.

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