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 Researcher 103

AI Researcher AI Research BERT Data Quality 103

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.

BERT 126

BERT ChatGPT Large Language Models NLP 126

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.

BERT 120

BERT Convolutional Neural Networks Neural Network Machine Learning 120

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 103

Large Language Models AI Researcher AI Research BERT 103

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 122

BERT Computer Vision Natural Language Processing NLP 122

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. Join the fastest growing ML Community on Reddit The authors have formulated the compositional tasks as computation graphs in order to investigate the two hypotheses.

Large Language Models 92

Large Language Models AI Researcher AI Research BERT 92

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.

BERT 52

BERT ML Engineer Data Science Deep Learning 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.

Large Language Models 132

Large Language Models Natural Language Processing BERT Computer Vision 132

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. Also, don’t forget to follow us on Twitter.

Natural Language Processing 122

Natural Language Processing NLP BERT AI Researcher 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 Dont Forget to join our 85k+ ML SubReddit. 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!")

AI Modeling 54

AI Modeling NLP AI AI 54

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. Check out the Paper. If you like our work, you will love our newsletter.

Neural Network 122

Neural Network Deep Learning BERT AI 122

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. All credit for this research goes to the researchers of this project.

Artificial Intelligence 107

Artificial Intelligence Artificial Intelligence Large Language Models BERT 107

Flipboard

JULY 4, 2023

Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans. A vector database is based on vector embedding, which is a sort of data encoding carrying semantic information that aids AI systems in interpreting the data and in maintaining long-term memory.

Large Language Models 139

Large Language Models Machine Learning Natural Language Processing BERT 139

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 128

Machine Learning BERT Deep Learning Explainability 128

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. Check out the Paper and Github.

Large Language Models 120

Large Language Models BERT LLM Explainability 120

Marktechpost

JULY 29, 2023

GPT 4, BERT, PaLM, etc. Considering the GLUE and the SuperGLUE benchmark, which were among the first few language understanding benchmarks, models like BERT and GPT-2 were more challenging as language models have been beating these benchmarks, sparking a race between the development of the models and the difficulty of the benchmarks.

Large Language Models 98

Large Language Models BERT Natural Language Processing Artificial Intelligence 98

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.

BERT 97

BERT Neural Network AI AI 97

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 118

Large Language Models BERT LLM OpenAI 118

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

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

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 120

Robotics BERT Algorithm AI Researcher 120

Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. All credit for this research goes to the researchers of this project. Training these models, however, is challenging. If you like our work, you will love our newsletter.

Computational Linguistics 117

Computational Linguistics Large Language Models LLM BERT 117

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. Check out the Paper and Dataset on Hugging Face.

Neural Network 43

Neural Network BERT Metadata AI Researcher 43

Marktechpost

NOVEMBER 17, 2023

Train GPT2 to write favourable movie reviews using a BERT sentiment classifier; implement a full RLHF using only adapters; make GPT-j less toxic; provide an example of stack-llama, etc. The reward model is an ML model that estimates earnings from a specified stream of outputs. How does TRL work? Check out the Github.

Machine Learning 124

Machine Learning Python BERT ML 124

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. Check out the Paper.

Prompt Engineer 114

Prompt Engineer Prompt Engineering BERT Artificial Intelligence 114

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. Check out the Paper , Project , and Github.

Deep Learning 126

Deep Learning Auto-classification Auto-complete BERT 126

Marktechpost

JUNE 19, 2023

Some well-known LLMs like GPT, BERT, and PaLM have been in the headlines for accurately following instructions and accessing vast amounts of high-quality data. LLM-BLENDER has also outperformed individual LLMs, like Vicuna, and has thus shown great potential for improving LLM deployment and research through ensemble learning.

Large Language Models 117

Large Language Models LLM BERT AI Tools 117

Marktechpost

JULY 5, 2023

A model that measures the similarity between users’ ordinary language and a dataset of 930,000 pertinent court case texts is trained using BERT. This makes it possible to build a vector database to quickly retrieve writings with a similar legal context, allowing additional research and citation.

Large Language Models 114

Large Language Models LLM Artificial Intelligence Artificial Intelligence 114

Marktechpost

JULY 5, 2023

This GPT transformer architecture-based model imitates humans by answering questions accurately just like a human, generates content for blogs, social media, research, etc., Large Language Models like GPT, BERT, PaLM, and LLaMa have successfully contributed to the advancement in the field of Artificial Intelligence.

Large Language Models 107

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 107

Marktechpost

OCTOBER 13, 2023

It uses the BERT framework and has been trained on a massive corpus of relevant text pairs that span numerous areas and use cases. All Credit For This Research Goes To the Researchers on This Project. Join our AI Channel on Whatsapp. Alibaba DAMO Academy’s GTE-tiny is a lightweight and speedy text embedding model.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence BERT Machine Learning 98

Marktechpost

JULY 24, 2023

From BERT, PaLM, and GPT to LLaMa DALL-E, these models have shown incredible performance in understanding and generating language for the purpose of imitating humans. All Credit For This Research Goes To the Researchers on This Project. Researchers Evaluate the March 2023 and June 2023 Versions of GPT-3.5

Large Language Models 98

Large Language Models LLM BERT Artificial Intelligence 98

Marktechpost

JULY 1, 2023

Famous LLMs like GPT, BERT, PaLM, etc., are being used by researchers to provide solutions in every domain ranging from education and social media to finance and healthcare. It is a promising addition to the developments in AI. Being trained on massive amounts of datasets, these LLMs capture a vast amount of knowledge.

Large Language Models 103

Large Language Models Natural Language Processing BERT NLP 103

Marktechpost

JULY 16, 2023

The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives. All Credit For This Research Goes To the Researchers on This Project. Their recent impact has helped contribute to a wide range of industries like healthcare, finance, education, entertainment, etc. Check out the Tool.

Large Language Models 97

Large Language Models LLM Artificial Intelligence Artificial Intelligence 97

Marktechpost

SEPTEMBER 30, 2024

As LLMs continue to grow in scale, reaching hundreds of billions to even trillions of parameters, concerns arise about the accessibility of AI research, with some fearing it may become confined to industry researchers. Two notable techniques, FNet and WavSPA, attempted to improve attention blocks in BERT-like architectures.

LLM 111

LLM Large Language Models BERT Artificial Intelligence 111

Marktechpost

NOVEMBER 20, 2023

points better perplexity and allows M2-BERT-base to achieve up to 3.3 All credit for this research goes to the researchers of this project. The post Stanford University Researchers Introduce FlashFFTConv: A New Artificial Intelligence System for Optimizing FFT Convolutions for Long Sequences appeared first on MarkTechPost.

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence Algorithm BERT 128

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 82

AI Modeling BERT AI Researcher AI Research 82

Marktechpost

NOVEMBER 3, 2023

Train GPT2 to write favourable movie reviews using a BERT sentiment classifier; implement a full RLHF using only adapters; make GPT-j less toxic; provide an example of stack-llama, etc. The reward model is an ML model that estimates earnings from a specified stream of outputs. How does TRL work? Check out the Github.

Machine Learning 107

Machine Learning Python BERT ML 107