Marktechpost

OCTOBER 22, 2024

The dataset was designed to address the major challenges of multilingual multimodal learning: data scarcity, cultural nuances, catastrophic forgetting, and evaluation complexity. Don’t Forget to join our 50k+ ML SubReddit. Moreover, PANGEA matches or even outperforms proprietary models like Gemini-1.5-Pro

Large Language Models 110

Large Language Models Data Scarcity Inference Engine LLM 110

Marktechpost

APRIL 27, 2024

A few-shot evaluation further confirms FLORA’s proficiency in managing data scarcity and distribution variability, showcasing its robust performance even with limited training examples. In conclusion, FLORA presents a promising solution to the challenge of training vision-language models in federated learning settings.

Machine Learning 134

Machine Learning Data Scarcity Data Mining AI 134

Marktechpost

FEBRUARY 29, 2024

Data scarcity in low-resource languages can be mitigated using word-to-word translations from high-resource languages. However, bilingual lexicons typically need more overlap with task data, leading to inadequate translation coverage. Check out the Paper. All credit for this research goes to the researchers of this project.

Artificial Intelligence 102

Artificial Intelligence Artificial Intelligence Data Scarcity NLP 102

Marktechpost

JANUARY 29, 2024

Other effective strategies to address data scarcity include vocabulary extension and ongoing pretraining. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Even the Glot500-c corpora, which spans 534 languages from 47 language families, benefited the low-resource languages.

Large Language Models 133

Large Language Models Data Scarcity Artificial Intelligence Artificial Intelligence 133

Marktechpost

JANUARY 15, 2024

Developed by researchers from Apple, aiming to enhance machine translation, AlignInstruct represents a paradigm shift in tackling data scarcity. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper. Also, don’t forget to follow us on Twitter.

Large Language Models 131

Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 131

Marktechpost

APRIL 17, 2024

Synthetic data has been identified as a pivotal solution to this challenge, promising to bridge the gap caused by data scarcity, privacy issues, and the high costs associated with data acquisition. Don’t Forget to join our 40k+ ML SubReddit Want to get in front of 1.5 Also, don’t forget to follow us on Twitter.

Data Scarcity 122

Data Scarcity Artificial Intelligence Artificial Intelligence AI Modeling 122

Marktechpost

JUNE 19, 2024

Modern bioprocess development, driven by advanced analytical techniques, digitalization, and automation, generates extensive experimental data valuable for process optimization—ML methods to analyze these large datasets, enabling efficient exploration of design spaces in bioprocessing.

Machine Learning 109

Machine Learning Neural Network Data Scarcity ML 109

Marktechpost

MAY 11, 2024

Low-resource settings: Linguistic knowledge is essential for addressing issues with data scarcity and linguistic variance in linguistically varied or low-resource languages. Proficiency in language ensures that NLP assessments encompass not just performance at the surface level but also more profound linguistic issues.

Large Language Models 130

Large Language Models NLP Data Scarcity Computational Linguistics 130

Marktechpost

JULY 23, 2023

The number of AI and, in particular, machine learning (ML) publications related to medical imaging has increased dramatically in recent years. ML models are constantly being developed to improve healthcare efficiency and outcomes, from classification to semantic segmentation, object detection, and image generation.

Machine Learning 98

Machine Learning Data Scarcity Algorithm AI Researcher 98

Marktechpost

DECEMBER 30, 2023

link] To conclude, the TF-T2V framework offers several key advantages: It innovatively utilizes text-free videos, addressing the data scarcity issue prevalent in the field. The dual-branch structure, focusing on spatial appearance and motion dynamics, generates high-quality, coherent video. Check out the Paper.

Data Scarcity 121

Data Scarcity Computer Vision Artificial Intelligence Artificial Intelligence 121

Marktechpost

APRIL 5, 2024

However, there’s potential to significantly improve models for smaller languages through multilingual training, which could mitigate the data scarcity issue. Also, don’t forget to follow us on Twitter. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Data Scarcity 132

Data Scarcity AI Modeling AI AI 132

Marktechpost

AUGUST 3, 2023

Also, don’t forget to join our 27k+ ML SubReddit , 40k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Data Scarcity 52

Data Scarcity Large Language Models BERT Natural Language Processing 52

Marktechpost

DECEMBER 31, 2023

He highlighted the necessity for effective data use by stressing the significant amount of data many AI systems consume. Another researcher highlighted the challenge of considering AI model-free due to market data scarcity for training, particularly in realistic derivative markets. Check out the Paper.

Neural Network 122

Neural Network Data Scarcity Artificial Intelligence Artificial Intelligence 122

Marktechpost

JULY 8, 2024

In conclusion, the research conducted by Cohere For AI demonstrates the critical importance of high-quality, diverse, multilingual data in training effective multilingual language models. Also, don’t forget to follow us on Twitter. Join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Data Scarcity 132

Data Scarcity Large Language Models Natural Language Processing NLP 132

Marktechpost

DECEMBER 1, 2024

This combination of technical depth and usability lowers the barrier for data scientists and ML engineers to generate synthetic data efficiently. By enabling straightforward generation of synthetic datasets, it allows organizations to experiment and train models without being hindered by data scarcity or privacy restrictions.

LLM 91

LLM Python Data Scarcity Data Scientist 91

Marktechpost

OCTOBER 11, 2024

Using GANs to generate high-quality synthetic data, Distilabel addresses key issues such as data scarcity, bias, and privacy concerns. Overall, the study presents Distilabel as a robust solution to the challenges of dataset creation. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Data Scarcity 111

Data Scarcity Neural Network Natural Language Processing Machine Learning 111

Marktechpost

MARCH 16, 2024

This method leverages pre-trained generative text and image models to create synthetic paired data for VLMs, addressing data scarcity, cost, and noise challenges. It generates both text and images synthetically, avoiding reliance on real-world data. The researchers from Google DeepMind have proposed Synth2.

Data Scarcity 105

Data Scarcity Computer Vision ML Artificial Intelligence 105

Marktechpost

AUGUST 12, 2024

The success of VulScribeR highlights the importance of large-scale data augmentation in the field of vulnerability detection. By generating diverse and realistic vulnerable code samples, this approach provides a practical solution to the data scarcity problem that has long hindered the development of effective DLVD models.

Large Language Models 111

Large Language Models Data Scarcity Software Engineer LLM 111

Marktechpost

JULY 18, 2024

In conclusion, YouTube-SL-25 is a pivotal advancement in sign language research, addressing the longstanding data scarcity issue. The dataset’s open-domain nature allows for broad applications, from general sign language pretraining to medium-quality finetuning for specific tasks such as translation and caption alignment.

Data Scarcity 122

Data Scarcity Machine Learning ML Large Language Models 122

Marktechpost

FEBRUARY 28, 2024

By aligning the embedding space of unimodal FMs through cross-modal transformation models utilizing KG triplets, BioBRIDGE maintains data sufficiency and efficiency and navigates the challenges posed by computational costs and data scarcity that hinder the scalability of multimodal approaches. Check out the Paper.

Machine Learning 104

Machine Learning AI Researcher AI Research Data Scarcity 104

Marktechpost

MAY 28, 2024

The DLM’s innovative use of synthetic data addresses the data scarcity issue that has hampered the performance of earlier error correction models. This approach significantly exceeds previous attempts and achieves state-of-the-art performance in ASR systems. Also, don’t forget to follow us on Twitter.

Data Scarcity 111

Data Scarcity Large Language Models Machine Learning Algorithm 111

Marktechpost

NOVEMBER 9, 2023

They also make available a sizable collection of artificially photorealistic photos matched with ground truth labels for these kinds of signals to overcome data scarcity. It can also be used for data obtained from a consumer’s cell phone. Check out the Paper and Project.

Data Scarcity 128

Data Scarcity Computer Vision AI AI 128

Marktechpost

AUGUST 2, 2024

With its extensive language training and romanization technique, the MMS Zero-shot method offers a promising solution to the data scarcity challenge, advancing the field towards more inclusive and universal speech recognition systems. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Data Scarcity 110

Data Scarcity AI Modeling AI AI 110

Marktechpost

FEBRUARY 27, 2024

For instance, BloomberGPT excels in finance with private financial data spanning 40 years. Collaborative training on decentralized personal data, without direct sharing, emerges as a critical approach to support the development of modern LLMs amid data scarcity and privacy concerns. Check out the Paper and Github.

Large Language Models 104

Large Language Models Machine Learning Data Scarcity Algorithm 104

Marktechpost

APRIL 23, 2024

Unlike conventional methods, this approach utilizes Bayesian inference and Monte Carlo techniques to effectively manage uncertainty and data scarcity. Also, don’t forget to follow us on Twitter. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Deep Learning 103

Deep Learning Data Scarcity Artificial Intelligence Artificial Intelligence 103

Marktechpost

SEPTEMBER 2, 2023

They optimize the LVLM using synthesized anomalous visual-textual data and incorporating IAD expertise. Direct training using IAD data, however, needs to be improved. Data scarcity is the first. With just a few normal samples, AnomalyGPT can also learn in context, allowing for quick adjustment to new objects.

Data Scarcity 124

Data Scarcity Large Language Models Natural Language Processing LLM 124

Marktechpost

MARCH 11, 2024

The developed CAT-SD scheme effectively mitigates catastrophic forgetting, addresses data scarcity, and ensures privacy in medical datasets. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper and Github. If you like our work, you will love our newsletter.

Neural Network 109

Neural Network Continuous Learning Robotics Data Scarcity 109

Topbots

DECEMBER 19, 2023

A key finding is that for a fixed compute budget, training with up to four epochs of repeated data shows negligible differences in loss compared to training with unique data. The paper also explores alternative strategies to mitigate data scarcity. Fast, parallel, weakly-synchronized computation dominates in ML.

Large Language Models 103

Large Language Models Natural Language Processing AI Research AI Researcher 103

Marktechpost

AUGUST 5, 2024

They use a three-stage training methodology—pretraining, ongoing training, and fine-tuning—to tackle the data scarcity of the SiST job. The team trains their model continuously using billions of tokens of low-quality synthetic speech translation data to further their goal of achieving modal alignment between voice and text.

Data Scarcity 119

Data Scarcity LLM Natural Language Processing NLP 119

Marktechpost

OCTOBER 26, 2024

To address data scarcity and granularity issues, the system employs sophisticated synthetic data generation techniques, particularly focusing on dense captioning and visual question-answering tasks. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

AI Researcher 109

AI Researcher AI Research Data Scarcity Inference Engine 109

Marktechpost

JULY 25, 2024

Large language models (LLMs) show promise in solving high-school-level math problems using proof assistants, yet their performance still needs to improve due to data scarcity. Formalized systems like Lean, Isabelle, and Coq offer computer-verifiable proofs, but creating these demands substantial human effort.

Automation 105

Automation Data Scarcity Large Language Models Data Extraction 105

Marktechpost

JULY 29, 2023

They aimed to train a generative model that can synthesize features by providing class names, which enables them to generate features for categories without data. Also, don’t forget to join our 27k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

AI Researcher 98

AI Researcher AI Research Generative AI Data Scarcity 98

Marktechpost

SEPTEMBER 30, 2024

This issue is exacerbated in healthcare scenarios where data scarcity is common, and unique patient traits are often underrepresented in the training data. Don’t Forget to join our 52k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

AI Modeling 103

AI Modeling Data Scarcity Artificial Intelligence Artificial Intelligence 103

Marktechpost

SEPTEMBER 8, 2024

Language modeling faces challenges due to data scarcity, while various NLP tools cater to specific Cantonese processing needs. Cantonese large language model Recent advances in Cantonese LLMs show promise despite resource scarcity and language-specific challenges. Also, don’t forget to follow us on Twitter and LinkedIn.

Large Language Models 104

Large Language Models NLP Neural Network Data Scarcity 104

Marktechpost

NOVEMBER 5, 2024

The SFM method marks a meaningful advancement in atmospheric science, setting a new benchmark in model accuracy for high-resolution weather data, especially when conventional models face limitations due to data scarcity and resolution misalignment. Don’t Forget to join our 55k+ ML SubReddit. Check out the Paper.

Data Scarcity 81

Data Scarcity Machine Learning AI AI 81

Marktechpost

MAY 20, 2024

Acquiring high-quality data is difficult, and copyright constraints frequently hinder sharing it. Consequently, cutting-edge approaches to data scarcity and data augmentation should be the focus of future studies. Also, don’t forget to follow us on Twitter. If you like our work, you will love our newsletter.

Data Scarcity 59

Data Scarcity Artificial Intelligence Artificial Intelligence Data Analysis 59

AWS Machine Learning Blog

MARCH 14, 2024

Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models.

Generative AI 117

Generative AI Prompt Engineer Prompt Engineering AI 117