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 112

Machine Learning Data Scarcity Deep Learning Automation 112

Marktechpost

APRIL 17, 2024

In the rapidly evolving landscape of artificial intelligence (AI), the quest for large, diverse, and high-quality datasets represents a significant hurdle. 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.

Data Scarcity 121

Data Scarcity Artificial Intelligence Artificial Intelligence AI Modeling 121

Marktechpost

JANUARY 29, 2024

With new releases and introductions in the field of Artificial Intelligence (AI), Large Language Models (LLMs) are advancing significantly. Other effective strategies to address data scarcity include vocabulary extension and ongoing pretraining. Check out the Paper and Model. Also, don’t forget to follow us on Twitter.

Large Language Models 133

Large Language Models Data Scarcity Artificial Intelligence Artificial Intelligence 133

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. A current PubMed search using the Mesh keywords “artificial intelligence” and “radiology” yielded 5,369 papers in 2021, more than five times the results found in 2011.

Machine Learning 96

Machine Learning Data Scarcity Algorithm AI Researcher 96

Marktechpost

MAY 11, 2024

With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules. Also, don’t forget to follow us on Twitter.

Large Language Models 130

Large Language Models NLP Data Scarcity Computational Linguistics 130

Marktechpost

DECEMBER 30, 2023

A fascinating field of study in artificial intelligence and computer vision is the creation of videos based on written descriptions. 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.

Data Scarcity 117

Data Scarcity Computer Vision Artificial Intelligence Artificial Intelligence 117

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 133

Machine Learning Data Scarcity Automation ML 133

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 131

Machine Learning Data Scarcity Large Language Models Robotics 131

Marktechpost

DECEMBER 31, 2023

Artificial intelligence is used in all spheres of life, providing utility in all fields. He highlighted the necessity for effective data use by stressing the significant amount of data many AI systems consume. However, due to high transaction costs and other limitations, continuous trading may not be feasible.

Neural Network 122

Neural Network Data Scarcity Artificial Intelligence Artificial Intelligence 122

Marktechpost

APRIL 23, 2024

Integrating artificial intelligence (AI) in healthcare transforms medical practices by improving diagnostics and treatment planning accuracy and efficiency. Unlike conventional methods, this approach utilizes Bayesian inference and Monte Carlo techniques to effectively manage uncertainty and data scarcity.

Deep Learning 97

Deep Learning Data Scarcity Artificial Intelligence Artificial Intelligence 97

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 102

Machine Learning Neural Network Data Scarcity ML 102

Marktechpost

SEPTEMBER 30, 2024

Human-sensing applications such as activity recognition, fall detection, and health monitoring have been revolutionized by advancements in artificial intelligence (AI) and machine learning technologies. Don’t Forget to join our 52k+ ML SubReddit. If you like our work, you will love our newsletter.

AI Modeling 97

AI Modeling Data Scarcity Artificial Intelligence Artificial Intelligence 97

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 132

Large Language Models Data Scarcity Natural Language Processing LLM 132

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 132

Machine Learning Data Scarcity Data Mining AI 132

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

MAY 20, 2024

The expansion of question-answering (QA) systems driven by artificial intelligence (AI) results from the increasing demand for financial data analysis and management. Acquiring high-quality data is difficult, and copyright constraints frequently hinder sharing it. Also, don’t forget to follow us on Twitter.

Data Scarcity 59

Data Scarcity Artificial Intelligence Artificial Intelligence Data Analysis 59

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 129

Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 129

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 104

AI Researcher AI Research Data Scarcity Inference Engine 104

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 AI 132

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 104

Data Scarcity Computer Vision ML Artificial Intelligence 104

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 108

Data Scarcity AI Modeling AI AI 108

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 129

Data Scarcity AI Modeling AI AI 129

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 99

Machine Learning AI Research AI Researcher Data Scarcity 99

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 98

Large Language Models Machine Learning Data Scarcity Algorithm 98

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 80

Data Scarcity Machine Learning AI AI 80

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

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 102

Automation Data Scarcity Large Language Models Data Extraction 102

Marktechpost

SEPTEMBER 28, 2024

This allows the framework to overcome data scarcity and perform better on mammography tasks. Don’t Forget to join our 50k+ ML SubReddit The post Multi-View and Multi-Scale Alignment (MaMA): Advancing Mammography with Contrastive Learning and Visual-Language Pre-training appeared first on MarkTechPost.

Data Scarcity 59

Data Scarcity LLM ML Computer Vision 59

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 104

Neural Network Continuous Learning Robotics Data Scarcity 104

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 118

Data Scarcity LLM Natural Language Processing NLP 118

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

Viso.ai

DECEMBER 18, 2023

Access to synthetic data is valuable for developing effective artificial intelligence (AI) and machine learning (ML) models. Real-world data often poses significant challenges, including privacy, availability, and bias. To address these challenges, we introduce synthetic data as an ML model training solution.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

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

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 Research 96

AI Research AI Researcher Generative AI Data Scarcity 96

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 100

Large Language Models NLP Neural Network Data Scarcity 100

Heartbeat

FEBRUARY 27, 2024

Multilingual prompt engineering creates concise and efficient instructions or prompts for artificial intelligence (AI) models capable of recognizing and generating content in several languages. Data used to train artificial intelligence models should ideally be clean, well-structured, and representative of the language’s usage.

Prompt Engineer 40

Prompt Engineer Prompt Engineering Robotics Deep Learning 40