Marktechpost

APRIL 23, 2025

Training Data Strategy and Evaluation Benchmarks To overcome data scarcity, NVIDIA develops the DLC-SDP pipelinea semi-supervised data generation strategy. Dont Forget to join our 90k+ ML SubReddit. This allows region-specific descriptions to be generated for videos, even in the presence of occlusion or motion.

LLM 72

LLM Data Scarcity Large Language Models Robotics 72

AWS Machine Learning Blog

FEBRUARY 12, 2025

Although fine-tuning with a large amount of high-quality original data remains the ideal approach, our findings highlight the promising potential of synthetic data generation as a viable solution when dealing with data scarcity. degree in Data Science from New York University. Sujeong holds a M.S.

LLM 77

LLM Generative AI Deep Learning Data Scarcity 77

Marktechpost

APRIL 10, 2024

Don’t Forget to join our 40k+ ML SubReddit The post The “Zero-Shot” Mirage: How Data Scarcity Limits Multimodal AI appeared first on MarkTechPost. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Data Scarcity 109

Data Scarcity AI AI ML 109

Marktechpost

MARCH 5, 2024

However, judgmental forecasting has introduced a nuanced approach, leveraging human intuition, domain knowledge, and diverse information sources to predict future events under data scarcity and uncertainty. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper.

Machine Learning 129

Machine Learning Data Scarcity Automation ML 129

Marktechpost

JULY 22, 2024

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has highlighted the critical need for large, diverse, and high-quality datasets to train and evaluate foundation models. Utilizing advanced models like GPT4o, LLaMa3, Mixtral, Gemma, and Gemma2, OAK addresses data scarcity, privacy concerns, and diversity issues.

AI Researcher 116

AI Researcher AI Research Data Scarcity Prompt Engineer 116

Marktechpost

JUNE 14, 2024

Together, these techniques mitigate the issues of limited target data, improving the model’s adaptability and accuracy. A recent paper published by a Chinese research team proposes a novel approach to combat data scarcity in classification tasks within target domains. Check out the Paper.

Machine Learning 108

Machine Learning Data Scarcity Deep Learning Automation 108

Marktechpost

AUGUST 2, 2024

A major issue in RL is the data scarcity in embodied AI, where agents must interact with physical environments. This problem is exacerbated by the need for substantial reward-labeled data to train agents effectively. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Machine Learning 126

Machine Learning Data Scarcity Large Language Models Robotics 126

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 104

Large Language Models Data Scarcity Inference Engine LLM 104

Marktechpost

MARCH 1, 2024

However, the scarcity and limited annotation of 3D data present significant challenges for the development and impact of 3D pretraining. One straightforward solution to address the data scarcity issue is to merge multiple existing 3D datasets and employ the combined data for universal 3D backbone pretraining.

Data Scarcity 105

Data Scarcity Natural Language Processing Deep Learning Artificial Intelligence 105

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

MARCH 26, 2024

In conclusion, the LLM2LLM framework offers a robust solution to the critical challenge of data scarcity. By harnessing the power of one LLM to improve another, it demonstrates a novel, efficient pathway to fine-tune models for specific tasks with limited initial data. Similarly, on the CaseHOLD dataset, there was a 32.6%

Large Language Models 129

Large Language Models Data Scarcity Natural Language Processing LLM 129

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 130

Machine Learning Data Scarcity Data Mining ML 130

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 98

Artificial Intelligence Artificial Intelligence Data Scarcity NLP 98

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

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 129

Large Language Models Data Scarcity Artificial Intelligence Artificial Intelligence 129

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 125

Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 125

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 115

Data Scarcity Artificial Intelligence Artificial Intelligence AI Modeling 115

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 103

Machine Learning Neural Network Data Scarcity ML 103

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 124

Large Language Models NLP Data Scarcity Computational Linguistics 124

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 106

Data Scarcity Neural Network Natural Language Processing Machine Learning 106

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 128

Data Scarcity AI Modeling AI AI 128

Marktechpost

APRIL 15, 2024

However, these approaches face significant hurdles, including the curse of multilinguality, data scarcity, and the substantial computational resources required. 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. If you like our work, you will love our newsletter.

Machine Learning 133

Machine Learning Data Scarcity Large Language Models Natural Language Processing 133

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 113

Data Scarcity Computer Vision Artificial Intelligence Artificial Intelligence 113

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 106

Large Language Models Data Scarcity Software Engineer Deep Learning 106

Marktechpost

OCTOBER 15, 2024

These models are trained on data collected from social media, which introduces bias and may not accurately represent diverse patient experiences. Moreover, privacy concerns and data scarcity hinder the development of robust models for mental health diagnosis and treatment. Don’t Forget to join our 50k+ ML SubReddit.

Data Scarcity 105

Data Scarcity Inference Engine Large Language Models Machine Learning 105

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 127

Data Scarcity Large Language Models Natural Language Processing NLP 127

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 115

Neural Network Data Scarcity Artificial Intelligence Artificial Intelligence 115

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 102

Data Scarcity Computer Vision ML Artificial Intelligence 102

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 122

Data Scarcity Computer Vision Python AI 122

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 105

Data Scarcity AI Modeling AI AI 105

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 100

Machine Learning AI Researcher AI Research Data Scarcity 100

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 117

Data Scarcity Large Language Models Natural Language Processing LLM 117

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.

Python 86

Python LLM Data Scarcity Data Scientist 86

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 115

Data Scarcity Machine Learning ML Large Language Models 115

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 106

Data Scarcity Large Language Models Machine Learning Algorithm 106

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 100

Large Language Models Machine Learning Data Scarcity Algorithm 100

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 100

Deep Learning Data Scarcity Artificial Intelligence Artificial Intelligence 100