Analytics Vidhya

NOVEMBER 20, 2024

Large Language Models like BERT, T5, BART, and DistilBERT are powerful tools in natural language processing where each is designed with unique strengths for specific tasks. Whether it’s summarization, question answering, or other NLP applications. These models vary in their architecture, performance, and efficiency.

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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

Current text embedding models, like BERT, are limited to processing only 512 tokens at a time, which hinders their effectiveness with long documents. This limitation often results in loss of context and nuanced understanding.

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BERT Generative AI AI AI 208

Analytics Vidhya

JANUARY 20, 2025

ModernBERT is an advanced iteration of the original BERT model, meticulously crafted to elevate performance and efficiency in natural language processing (NLP) tasks.

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Natural Language Processing BERT Machine Learning NLP 207

Towards AI

APRIL 18, 2025

Author(s): Saif Ali Kheraj Originally published on Towards AI. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor.

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BERT Large Language Models AI AI 95

Towards AI

OCTOBER 29, 2024

Last Updated on October 31, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. That’s a bit like what BERT does — except instead of people, it reads text. BERT, short for Bidirectional Encoder Representations from Transformers, is a powerful machine learning model developed by Google.

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BERT NLP Machine Learning AI 119

Unite.AI

FEBRUARY 10, 2025

The advent of AI, followed by the rise of generative AI, and now agentic AI, has allowed machines to retrieve information, synthesize and analyze it. This article explores how AI has evolved knowledge discovery, leading to the development of Deep Research and what it means for the future of intensive knowledge work.

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Analytics Vidhya

JULY 22, 2023

Introduction Ever since the launch of Generative AI models like the GPT (Generative Pre-trained Transformers) models by OpenAI, especially ChatGPT, Google has always been on the verge to create a launch an AI Model similar to that.

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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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BERT Natural Language Processing Large Language Models NLP 348

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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Analytics Vidhya

FEBRUARY 24, 2024

Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode.

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Unite.AI

DECEMBER 8, 2023

Language models and generative AI, renowned for their capabilities, are a hot topic in the AI industry. This article introduces UltraFastBERT, a BERT-based framework matching the efficacy of leading BERT models but using just 0.3% Global researchers are enhancing their efficacy and capability.

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Flipboard

DECEMBER 26, 2024

The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and shifting from coding copilots to fully autonomous coderssomething thats still a work in progress. Perplexity.ai

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Software Engineer BERT Artificial Intelligence Artificial Intelligence 177

Marktechpost

NOVEMBER 16, 2024

The rapid advancements in Generative AI have underscored the importance of text embeddings. Regular Updates: New models and capabilities are frequently added, reflecting the latest advancements in AI research. Integration: They can be seamlessly integrated into downstream models, enhancing the overall AI pipeline.

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Generative AI BERT NLP OpenAI 104

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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Neural Network Robotics Natural Language Processing NLP 354

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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Auto-classification BERT Machine Learning AI 110

Unite.AI

SEPTEMBER 24, 2023

The advent of artificial intelligence (AI) chatbots has reshaped conversational experiences, bringing forth advancements that seem to parallel human understanding and usage of language. The exploration of AI chatbots' linguistic capabilities has unveiled the lingering challenges in aligning their understanding with human cognition.

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Marktechpost

NOVEMBER 27, 2023

UltraFastBERT achieves comparable performance to BERT-base, using only 0.3% UltraFastBERT-1×11-long matches BERT-base performance with 0.3% In conclusion, UltraFastBERT is a modification of BERT that achieves efficient language modeling while using only a small fraction of its neurons during inference. of its neurons.

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Marktechpost

JANUARY 20, 2025

AI and ML are expanding at a remarkable rate, which is marked by the evolution of numerous specialized subdomains. Recently, two core branches that have become central in academic research and industrial applications are Generative AI and Predictive AI. and improved training techniques for GANs by Salimans et al.

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

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BERT Natural Language Processing Deep Learning Machine Learning 105

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

DECEMBER 23, 2024

Last Updated on December 24, 2024 by Editorial Team Author(s): Shenggang Li Originally published on Towards AI. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. Published via Towards AI Upgrade to access all of Medium.

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BERT NLP ChatGPT AI 116

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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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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BERT Large Language Models Natural Language Processing NLP 128

Analytics Vidhya

JANUARY 8, 2025

Well discuss simple practical approaches including mean pooling, cosine similarity and architecture […] The post Exploring Embedding Models with Vertex AI appeared first on Analytics Vidhya.

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Artificial Intelligence Artificial Intelligence AI AI 208

Marktechpost

NOVEMBER 19, 2024

LLMs, including BERT and GPT-based models, are employed in two primary strategies: prompt engineering, which utilizes the internal knowledge of LLMs, and fine-tuning, which customizes models for specific datasets to improve anomaly detection performance. A projector aligns the vector spaces of BERT and Llama to maintain semantic coherence.

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Large Language Models BERT Prompt Engineering Prompt Engineer 80

Towards AI

FEBRUARY 10, 2025

Author(s): Mukundan Sankar Originally published on Towards AI. Every Website, Every App, Every Piece of Content Youre Already Consuming AI-Generated Information, and You Dont Even Know It. AI isnt just an assistant anymore; its the architect of the digital experience. Youre getting what AI thinks is best for you.

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BERT ChatGPT AI AI 93

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. Large language models or LLMs are AI systems that use transformers to understand and create human-like text.

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LLM NLP BERT Python 341

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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Neural Network Convolutional Neural Networks Robotics Natural Language Processing 246

Unite.AI

NOVEMBER 25, 2024

As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when building complex systems. For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. loading models, data preprocessing pipelines).

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Python LLM AI Engineer AI 144

Marktechpost

JANUARY 12, 2025

Artificial Intelligence (AI) is revolutionizing how discoveries are made. AI is creating a new scientific paradigm with the acceleration of processes like data analysis, computation, and idea generation. to close the gap between BERT-base and BERT-large performance. improvement over baseline models.

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Auto-classification Automation Auto-complete BERT 84

Marktechpost

SEPTEMBER 14, 2024

Traditional models, such as BERT and RoBERTa, have set new standards for sentence-pair comparison, yet they are inherently slow for tasks that require processing large datasets. A notable issue in text processing arises from the computational cost of comparing sentences. If you like our work, you will love our newsletter.

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BERT Natural Language Processing Automation ML 109

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. While newer models like GTE and CDE improved fine-tuning strategies for tasks like retrieval, they rely on outdated backbone architectures inherited from BERT.

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Unite.AI

JULY 23, 2024

However, recent advancements in artificial intelligence (AI) and neuroscience bring this fantasy closer to reality. Mind-reading AI, which interprets and decodes human thoughts by analyzing brain activity, is now an emerging field with significant implications. What is Mind-reading AI?

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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). Therefore, understanding this distinction is essential for exploring the deeper complexities of how AI memory compares to that of humans. How Human Memory Works?

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LLM Large Language Models Natural Language Processing BERT 176

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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Robotics Large Language Models Artificial Intelligence Artificial Intelligence 264

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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