Analytics Vidhya

FEBRUARY 24, 2022

Dear readers, In this blog, we will build a Flask web app that can input any long piece of information such as a blog or news article and summarize it into just five lines! SBERT(Sentence-BERT) has […]. This article was published as a part of the Data Science Blogathon.

Natural Language Processing 291

Natural Language Processing BERT NLP Data Science 291

NYU Center for Data Science

MARCH 13, 2025

Through extensive analysis, the researchers found that mid-depth layers in autoregressive transformers undergo significant information compression that ultimately helps them better capture and distill relevant features. This is because these layers strike an optimal balance between preserving task-relevant information and discarding noise.

BERT 87

BERT Large Language Models Explainability LLM 87

Unite.AI

DECEMBER 8, 2023

This article introduces UltraFastBERT, a BERT-based framework matching the efficacy of leading BERT models but using just 0.3% of the available neurons while delivering results comparable to BERT models with a similar size and training process, especially on the downstream tasks.

BERT 311

BERT Neural Network Large Language Models Algorithm 311

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).

BERT 127

BERT Large Language Models Natural Language Processing NLP 127

Towards AI

OCTOBER 19, 2024

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. Phishing is a form of cybercrime where attackers impersonate legitimate entities to deceive individuals into revealing sensitive information, such as usernames, passwords, or credit card details.

BERT 105

BERT Natural Language Processing Deep Learning Machine Learning 105

Towards AI

SEPTEMBER 5, 2023

A few years back, two groundbreaking models, BERT and GPT, emerged as game-changers. While BERT and GPT laid a strong foundation and opened doors to possibilities, researchers and technologists are now building upon that, pushing boundaries and exploring uncharted territories. Then there’s GPT, the Generative Pre-trained Transformer.

Natural Language Processing 105

Natural Language Processing BERT NLP AI 105

Marktechpost

AUGUST 7, 2023

Models like GPT, BERT, and PaLM are getting popular for all the good reasons. The well-known model BERT, which stands for Bidirectional Encoder Representations from Transformers, has a number of amazing applications. Recent research investigates the potential of BERT for text summarization.

BERT 98

BERT NLP Natural Language Processing Large Language Models 98

Towards AI

JUNE 12, 2024

Both BERT and GPT are based on the Transformer architecture. They process inputs sequentially, maintaining a hidden state that captures information about previous inputs, making them suitable for tasks like time series prediction and natural language processing. These were followed by the breakthrough of the Attention Mechanism.

BERT 104

BERT Neural Network Natural Language Processing NLP 104

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.

BERT 120

BERT Automation Neural Network Machine Learning 120

Unite.AI

OCTOBER 11, 2023

It can find information based on meaning and remember things for a long time. BERT and its Variants : BERT (Bidirectional Encoder Representations from Transformers) by Google, is another significant model that has seen various updates and iterations like RoBERTa, and DistillBERT. Conclusion The AI world is changing fast.

Generative AI 298

Generative AI BERT NLP AI 298

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. Web browsing agents have traditionally been used for information retrieval through keyword searches. It helps the agent be aware of its digital environment.

LLM 236

LLM BERT Natural Language Processing NLP 236

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.

BERT 74

BERT Data Scarcity Natural Language Processing Large Language Models 74

Marktechpost

AUGUST 26, 2024

Medical abstractive summarization faces challenges in balancing faithfulness and informativeness, often compromising one for the other. They introduce uMedSum, a modular hybrid framework designed to enhance faithfulness and informativeness by sequentially removing confabulations and adding missing information.

BERT 103

BERT AI AI ML 103

Marktechpost

NOVEMBER 17, 2024

Active learning helps optimize this process by selecting the most informative unlabeled samples for annotation, reducing the labeling effort. Active learning enables a model to request labels for the most informative unlabeled samples, reducing annotation costs.

Deep Learning 98

Deep Learning BERT Automation ML 98

Towards AI

FEBRUARY 10, 2025

Every Website, Every App, Every Piece of Content Youre Already Consuming AI-Generated Information, and You Dont Even Know It. And what does it mean for the way we consume and trust online information? Author(s): Mukundan Sankar Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium.

BERT 88

BERT ChatGPT AI AI 88

Towards AI

FEBRUARY 10, 2025

Going anonymous for self-expression has bundled these forums with information that is quite useful for mental health studies. After a detailed evaluation of traditional classifiers and transformer-based models like BERT and GPT-3, MentalBERT and BERT became the best-performing models, achieving a fantastic F1 score of over 76%.

Data Science 91

Data Science BERT Categorization Large Language Models 91

Marktechpost

JANUARY 12, 2024

One of the most important areas of NLP is information extraction (IE), which takes unstructured text and turns it into structured knowledge. So, instead of extracting structural information from plain text, generative IE approaches that use LLMs to create structural information has recently become very popular.

Large Language Models 129

Large Language Models Chatbots BERT NLP 129

Unite.AI

MARCH 24, 2024

These networks emulate the way human neurons transmit electrical signals, processing information through interconnected nodes. Their approach began with an existing artificial neuron model, S-Bert, known for its language comprehension capabilities.

Neural Network 354

Neural Network Robotics Natural Language Processing NLP 354

Unite.AI

MAY 29, 2024

This method involves hand-keying information directly into the target system. But these solutions cannot guarantee 100% accurate results. Text Pattern Matching Text pattern matching is a method for identifying and extracting specific information from text using predefined rules or patterns.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

Towards AI

NOVEMBER 6, 2024

Generative models are prone to “hallucination”, meaning they can produce incorrect or misleading information if they lack the correct context or are fed noisy data. This is valuable in the context of RAG because it ensures that the generative model has access to high-quality, contextually appropriate information.

Metadata 119

Metadata LLM BERT OpenAI 119

Marktechpost

JANUARY 20, 2024

The practical deployment of multi-billion parameter neural rankers in real-world systems poses a significant challenge in information retrieval (IR). Pseudo-labels from advanced cross-encoder models like BERT are one of the methods for generating synthetic data for domain adaptation of dense passage retrievers.

BERT 131

BERT Large Language Models LLM AI 131

AssemblyAI

JUNE 27, 2023

Audio signals can be represented as waveforms , possessing specific characteristics such as frequency, amplitude, and phase , whose different combinations can encode various types of information like pitch and loudness in sound. Map a prompt , a description of the desired audio qualities and its content, to a generated waveform output.

Generative AI 298

Generative AI BERT Neural Network AI 298

Unite.AI

APRIL 15, 2024

When it comes to natural language processing (NLP) and information retrieval, the ability to efficiently and accurately retrieve relevant information is paramount. Retrieval : The system queries a vector database or document collection to find information relevant to the user's query.

BERT 162

BERT Large Language Models Natural Language Processing NLP 162

Unite.AI

MAY 8, 2024

Mutual Information Maximization : Maximizing the mutual information between local node representations and a target representation like the global graph embedding. Beyond better text encoders, LLMs can be used to generate augmented information from the original text attributes in a semi-supervised manner.

Neural Network 182

Neural Network Large Language Models LLM BERT 182

Unite.AI

FEBRUARY 7, 2024

LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP). Likewise, Hugging Face is an AI company that provides an NLP platform, including a library and a hub of pre-trained LLMs, such as BERT, GPT-3, and T5. However, LLMs are also very different from other models.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

Unite.AI

JULY 23, 2024

By leveraging advances in artificial intelligence (AI) and neuroscience, researchers are developing systems that can translate the complex signals produced by our brains into understandable information, such as text or images. This process effectively translates brainwaves into a personalized dictionary.

Convolutional Neural Networks 317

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 317

TheSequence

NOVEMBER 26, 2024

An analysis of the MT-BERT multi-teacher distillation method. A simple example of this approach might involve several teacher models, each specializing in a specific type of knowledge, such as feature-based or response-based information. Created Using Midjourney In this issue: An introduction to multi-teacher distillation. Read more

BERT 59

BERT Explainability LLM ML 59

Unite.AI

DECEMBER 13, 2024

Large language models (LLMs) , such as GPT-4 , BERT , Llama , etc., Once an interaction ends, all prior information is lost, requiring users to start anew with each use. Once an interaction ends, all prior information is lost, requiring users to start anew with each use. Scalability is one of the most pressing issues.

LLM 246

LLM Neural Network Chatbots AI 246

IBM Journey to AI blog

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. While advanced models can handle diverse data types, some excel at specific tasks, like text generation, information summary or image creation.

Generative AI 343

Generative AI AI AI Chatbots 343

Marktechpost

NOVEMBER 15, 2023

This model consists of two primary modules: A pre-trained BERT model is employed to extract pertinent information from the input text, and A diffusion UNet model processes the output from BERT. It is built upon a pre-trained BERT model. The E3 TTS employs an iterative refinement process to generate an audio waveform.

BERT 121

BERT Convolutional Neural Networks Neural Network Machine Learning 121

Marktechpost

MAY 29, 2024

Answers, and StackOverflow, serve as interactive hubs for information exchange. Despite their popularity, the varying quality of responses poses a challenge for users who must navigate through numerous answers to find relevant information efficiently. Community Question Answering (CQA) platforms, exemplified by Quora, Yahoo!

BERT 107

BERT Large Language Models Natural Language Processing LLM 107

Unite.AI

OCTOBER 11, 2024

While large language models (LLMs) like GPT-3 and Llama are impressive in their capabilities, they often need more information and more access to domain-specific data. Retrieval-augmented generation (RAG) solves these challenges by combining LLMs with information retrieval.

Large Language Models 200

Large Language Models BERT Chatbots Algorithm 200

Unite.AI

JULY 11, 2023

Discover the concept of attention mechanism – a powerful approach that enables language models to concentrate on particular input sequence segments in order to understand contextual information. Covers the different NLP tasks for which a BERT model is used. Learn how it operates and its uses. What will AI enthusiasts learn?

Generative AI 189

Generative AI BERT Natural Language Processing Large Language Models 189

Unite.AI

SEPTEMBER 18, 2023

To prevent these scenarios, protection of data, user assets, and identity information has been a major focus of the blockchain security research community, as to ensure the development of the blockchain technology, it is essential to maintain its security.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Towards AI

JANUARY 29, 2025

For encoder-only architectures like BERT, the model learns to predict missing words in a sentence. A higher value allows to capture more information (better performance), but increases memory usage. This stage involves defining the model architecture, selecting the tokenizer and processing the data using the tokenizers vocabulary.

Large Language Models 89

Large Language Models LLM BERT Machine Learning 89

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. Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

Marktechpost

OCTOBER 10, 2024

ColBERT seeks to enhance the effectiveness of passage search by leveraging deep pre-trained language models like BERT while maintaining a lower computational cost through late interaction techniques. Key Elements Key elements of ColBERT include the use of BERT for context encoding and a novel late interaction architecture.

BERT 106

BERT ML Artificial Intelligence Artificial Intelligence 106