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 While newer models like GTE and CDE improved fine-tuning strategies for tasks like retrieval, they rely on outdated backbone architectures inherited from BERT.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 75

BERT Data Scarcity Natural Language Processing Large Language Models 75

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.

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BERT NLP Natural Language Processing Large Language Models 98

Marktechpost

SEPTEMBER 6, 2024

Newer approaches have adopted more sophisticated tools, such as BERT-based annotators, to classify code quality and select data that would more effectively contribute to the model’s success. In the second phase, the research team selected 50 billion tokens from this initial dataset, focusing on high-quality data.

AI Research 104

AI Research AI Researcher BERT Data Quality 104

Unite.AI

MARCH 24, 2024

The connection between these artificial neural networks and biological neurons is a key component in advancing AI’s linguistic capabilities. 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

Marktechpost

JUNE 4, 2023

Even other Large Language Models (LLMs) like PaLM, LLaMA, and BERT are being used in applications of various domains involving healthcare, E-commerce, finance, education, etc. Don’t forget to join our 22k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Large Language Models 104

Large Language Models AI Research AI Researcher BERT 104

AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

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Neural Network Convolutional Neural Networks Robotics Natural Language Processing 246

Unite.AI

FEBRUARY 7, 2024

LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP). OpenAI, an AI research company, offers various services and models, including GPT-4, DALL-E, CLIP, and DINOv2. LLMs can understand the complexities of human language better than other models.

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Machine Learning Large Language Models LLM BERT 294

Marktechpost

AUGUST 1, 2023

Even other Large Language Models (LLMs) like PaLM, LLaMA, and BERT are being used in applications of various domains involving healthcare, E-commerce, finance, education, etc. Don’t forget to join our 22k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Large Language Models 92

Large Language Models AI Research AI Researcher BERT 92

AI Weekly

JANUARY 4, 2024

businessinsider.com Robotics for Kids: The Future With AI and Robotics Education Science, technology, engineering, and math (STEM) focused and clever robotic toys help kids understand the science behind circuits and motion and inspire them to take on more challenging projects in the future.

Robotics 264

Robotics Large Language Models Artificial Intelligence Artificial Intelligence 264

Marktechpost

NOVEMBER 10, 2023

AugGPT’s framework consists of fine-tuning BERT on the base dataset, generating augmented data (Daugn) using ChatGPT, and fine-tuning BERT with the augmented data. The few-shot text classification model is based on BERT, using cross-entropy and contrastive loss functions to classify samples effectively.

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BERT ChatGPT Large Language Models NLP 128

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 BERT model takes subword input, and its output is processed by a 1D U-Net structure.

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BERT Convolutional Neural Networks Neural Network Machine Learning 123

Marktechpost

DECEMBER 10, 2023

In computer vision, autoregressive pretraining was initially successful, but subsequent developments have shown a sharp paradigm change in favor of BERT-style pretraining. However, because of its greater effectiveness in visual representation learning, subsequent research has come to prefer BERT-style pretraining.

BERT 125

BERT Computer Vision Natural Language Processing NLP 125

AWS Machine Learning Blog

AUGUST 2, 2024

of nodes with text-features MAG 484,511,504 7,520,311,838 4/4 28,679,392 1,313,781,772 240,955,156 We benchmark two main LM-GNN methods in GraphStorm: pre-trained BERT+GNN, a baseline method that is widely adopted, and fine-tuned BERT+GNN, introduced by GraphStorm developers in 2022. Dataset Num. of nodes Num. of edges Num.

BERT 113

BERT Neural Network Machine Learning ML 113

Marktechpost

JULY 28, 2024

Regular Updates: New models and capabilities are frequently added, reflecting the latest advancements in AI research. AllenNLP Embeddings Strengths: NLP Specialization: AllenNLP provides embeddings like BERT and ELMo that are specifically designed for NLP tasks.

Generative AI 137

Generative AI BERT NLP OpenAI 137

Marktechpost

MAY 27, 2024

General-purpose architectures like BERT, GPT-2, and BART perform strongly on various NLP tasks. Researchers from Facebook AI Research, University College London, and New York University introduced Retrieval-Augmented Generation (RAG) models to address these limitations.

Natural Language Processing 125

Natural Language Processing NLP BERT AI Research 125

Unite.AI

AUGUST 15, 2024

These embeddings were created by integrating brain signals with context input text, allowing the AI to generate coherent text from imagined speech. Key metrics such as BLEU-1 and BERT P scores were used to evaluate the accuracy of the AI model.

Large Language Models 147

Large Language Models BERT LLM AI 147

ODSC - Open Data Science

APRIL 1, 2025

In financial and social media datasets, it outperformed established LLMs like BERT, GPT-2, andLLaMA. Temple leverages soft prompting and language modeling techniques to incorporate textual information into time series forecasting. The result? More informed predictions are grounded in both quantitative signals and qualitative context.

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BERT ML Engineer Data Science Deep Learning 52

Marktechpost

JULY 24, 2023

Researchers believe they can train a language model because of the competition to construct enormously large models that the power of scale has sparked. The initial BERT model is used for many real-world applications in natural language processing. However, this model already needed a substantial amount of computing to train.

AI Research 52

AI Research AI Researcher BERT Natural Language Processing 52

Marktechpost

SEPTEMBER 17, 2023

Flexibility and Dynamism: Unlike its BERT-based competitors, radiological-Llama2 is not constrained to a particular input structure, enabling a wider range of inputs and flexibility to various radiological tasks, including complicated reasoning. All Credit For This Research Goes To the Researchers on This Project.

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Large Language Models Natural Language Processing BERT Computer Vision 134

Marktechpost

APRIL 6, 2024

With its distinctive linguistic structure and deep cultural context, Korean has often posed a challenge for conventional English-based LLMs, prompting a shift toward more inclusive and culturally aware AI research and development. Codex further explores the integration of code generation within LLMs.

Large Language Models 120

Large Language Models BERT LLM OpenAI 120

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.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Marktechpost

NOVEMBER 14, 2023

The study conducted experiments on autoregressive decoder-only and BERT encoder-only models to assess the performance of the simplified transformers. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter. We are also on Telegram and WhatsApp.

Neural Network 125

Neural Network Deep Learning BERT AI 125

Marktechpost

JANUARY 3, 2024

Sentence-BERT and SimCSE are two methods that have evolved with the introduction of pre-trained language models. These methods are used to fine-tune models like BERT on Natural Language Inference (NLI) datasets in order to learn text embeddings. If you like our work, you will love our newsletter.

Artificial Intelligence 109

Artificial Intelligence Artificial Intelligence Large Language Models BERT 109

Marktechpost

MARCH 8, 2025

Results for search and recommendation tasks show that the BERT cross-encoder outperforms the bi-encoder, confirming that explicit query and document interaction enhances relevance matching. All credit for this research goes to the researchers of this project.

Neural Network 44

Neural Network BERT Metadata AI Research 44

NVIDIA

FEBRUARY 11, 2025

A Brief History of Foundation Models We are in a time where simple methods like neural networks are giving us an explosion of new capabilities, said Ashish Vaswani, an entrepreneur and former senior staff research scientist at Google Brain who led work on the seminal 2017 paper on transformers.

Neural Network 56

Neural Network Large Language Models Robotics BERT 56

Marktechpost

NOVEMBER 22, 2023

An embedding similarity search looks at the embeddings of previously trained models (like BERT) to discover related and maybe polluted cases. All credit for this research goes to the researchers of this project. However, its precision is somewhat low. If you like our work, you will love our newsletter.

Large Language Models 123

Large Language Models BERT LLM Explainability 123

Marktechpost

JULY 5, 2024

Pre-trained embeddings like frozen ResNet-50 and BERT, are used to speed up training and prevent underfitting for CIFAR-10 and IMDB, respectively. high-quality data in AI research. All credit for this research goes to the researchers of this project. Check out the Paper. Also, don’t forget to follow us on Twitter.

Machine Learning 130

Machine Learning BERT Deep Learning Explainability 130

Towards AI

JULY 12, 2024

highlight the risks large language models pose to humanity’s safety as they become bigger and propose mitigation strategies AI researchers and practitioners can incorporate in the development of such models. AI Compute is expensive. Financial costs erect barriers to entry, limiting who can contribute to AI research.

Large Language Models 122

Large Language Models BERT Artificial Intelligence Artificial Intelligence 122

Marktechpost

APRIL 4, 2025

We’re using deepset/roberta-base-squad2 , which is: Based on RoBERTa architecture (a robustly optimized BERT approach) Fine-tuned on SQuAD 2.0 Windows NT 10.0; join(chunk for chunk in chunks if chunk) text = re.sub(r's+', ' ', text).strip() to(device) print("Model loaded successfully!") replace("[SEP]", "").strip()

AI Modeling 51

AI Modeling NLP AI AI 51

Marktechpost

JULY 25, 2023

The music-generating model MusicLM consists of audio-derived embeddings named MuLan and w2v-BERT- avg. Out of both embeddings, MuLan tends to have high prediction performance than w2v-BERT-avg in the lateral prefrontal cortex as it captures high-level music information processing in the human brain.

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BERT Neural Network AI AI 97

Marktechpost

OCTOBER 24, 2023

Language instructions were encoded using pre-trained BERT embeddings. All Credit For This Research Goes To the Researchers on This Project. Join our AI Channel on Whatsapp. In lifelong robot learning, three vision-language policy networks were employed: RESNET-RNN, RESNET-T, and VIT-T. We are also on WhatsApp.

Robotics 123

Robotics BERT Algorithm AI Researcher 123

Marktechpost

JUNE 7, 2023

The transformer models like BERT and T5 have recently got popular due to their excellent properties and have utilized the idea of self-supervision in Natural Language Processing tasks. Self-supervised learning is being prominently used in Artificial Intelligence to develop intelligent systems. Check Out The Paper and Github link.

Natural Language Processing 98

Natural Language Processing BERT Computer Vision Artificial Intelligence 98

Marktechpost

JULY 4, 2023

XLNet Reading comprehension, text categorization, sentiment analysis, and other natural language processing (NLP) tasks are just some of the many for which the researchers at Carnegie Mellon University and Google have built a new model dubbed XLNet. It is pre-trained using a generalized autoregressive model.

Large Language Models 104

Large Language Models BERT Natural Language Processing Categorization 104

Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. The post Alibaba Researchers Unveil Unicron: An AI System Designed for Efficient Self-Healing in Large-Scale Language Model Training appeared first on MarkTechPost.

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Computational Linguistics Large Language Models LLM BERT 120

Marktechpost

NOVEMBER 5, 2024

The landscape of AI research is experiencing significant challenges due to the immense computational requirements of large pre-trained language and vision models. Some researchers have developed efficient pre-training recipes for models like BERT variants, achieving faster training times on limited GPUs.

AI Modeling 84

AI Modeling BERT AI Research AI Researcher 84

Marktechpost

DECEMBER 19, 2023

The study employs pre-trained CLIP models in experiments across Playhouse and AndroidEnv, exploring encoder architectures such as Normalizer-Free Networks, Swin, and BERT for language encoding in tasks like Find, Lift, and Pick and Place. All credit for this research goes to the researchers of this project.

Prompt Engineering 117

Prompt Engineering Prompt Engineer BERT Artificial Intelligence 117

Marktechpost

NOVEMBER 25, 2023

All credit for this research goes to the researchers of this project. Also, don’t forget to join our 33k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. If you like our work, you will love our newsletter.

Deep Learning 128

Deep Learning Auto-classification Auto-complete BERT 128