AI Researcher, Data Scarcity and ML - Artificial Intelligence Zone

AI Researcher

Data Scarcity

Open Artificial Knowledge (OAK) Dataset: A Large-Scale Resource for AI Research Derived from Wikipedia’s Main Categories

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. OAK dataset offers a comprehensive resource for AI research, derived from Wikipedia’s main categories.

AI Research

AI Research AI Researcher Data Scarcity Prompt Engineer

NeoBERT: Modernizing Encoder Models for Enhanced Language Understanding

Marktechpost

MARCH 3, 2025

Data Scarcity: Pre-training on small datasets (e.g., All credit for this research goes to the researchers of this project. Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit. Wikipedia + BookCorpus) restricts knowledge diversity. Check out the Paper and Model on Hugging Face.

BERT

BERT Data Scarcity Natural Language Processing Large Language Models

Join 15,000+

professionals

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Webinars

How to Achieve High-Accuracy Results When Using LLMs

Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

MORE WEBINARS

Trending Sources

AI Researchers At Mayo Clinic Introduce A Machine Learning-Based Method For Leveraging Diffusion Models To Construct A Multitask Brain Tumor Inpainting Algorithm

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

Machine Learning Data Scarcity Algorithm AI Research

Webinars

How to Achieve High-Accuracy Results When Using LLMs

Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

MORE WEBINARS

Meta AI Researchers Introduce Token-Level Detective Reward Model (TLDR) to Provide Fine-Grained Annotations for Large Vision Language Models

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 Research

AI Research AI Researcher Data Scarcity Inference Engine

Amazon AI Research Introduces BioBRIDGE: A Parameter-Efficient Machine Learning Framework to Bridge Independently Trained Unimodal Foundation Models to Establish Multimodal Behavior

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.

Machine Learning

Machine Learning AI Research AI Researcher Data Scarcity

A New AI Research from China Proposes SHIP: A Plug-and-Play Generative AI Approach to Improve Existing Fine-Tuning Methods

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. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper.

AI Research

AI Research AI Researcher Generative AI Data Scarcity

This Paper Introduces TF-T2V: A Novel Text-to-Video Generation Framework with Impressive Scalability and Performance Improvements

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. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter.

Data Scarcity

Data Scarcity Computer Vision Artificial Intelligence Artificial Intelligence

Award-Winning Breakthroughs at NeurIPS 2023: A Focus on Language Model Innovations

Topbots

DECEMBER 19, 2023

Generated with Midjourney The NeurIPS 2023 conference showcased a range of significant advancements in AI, with a particular focus on large language models (LLMs), reflecting current trends in AI research. These awards highlight the latest achievements and novel approaches in AI research.

Large Language Models

Large Language Models Natural Language Processing Machine Learning AI Research

Meet AnomalyGPT: A Novel IAD Approach Based on Large Vision-Language Models (LVLM) to Detect Industrial Anomalies

Marktechpost

SEPTEMBER 2, 2023

Researchers from Chinese Academy of Sciences, University of Chinese Academy of Sciences, Objecteye Inc., and Wuhan AI Research present AnomalyGPT, a unique IAD methodology based on LVLM, as shown in Figure 1, as neither existing IAD approaches nor LVLMs can adequately handle the IAD problem. Data scarcity is the first.

Data Scarcity

Data Scarcity Large Language Models Natural Language Processing LLM

This Paper Explores AI-Driven Hedging Strategies in Finance: A Deep Dive into the Use of Recurrent Neural Networks and k-Armed Bandit Models for Efficient Market Simulation and Risk Management

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.

Neural Network

Neural Network Data Scarcity Artificial Intelligence Artificial Intelligence

Meet LP-MusicCaps: A Tag-to-Pseudo Caption Generation Approach with Large Language Models to Address the Data Scarcity Issue in Automatic Music Captioning

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

Data Scarcity Large Language Models BERT Natural Language Processing

University of Cambridge Researchers Introduce a Dataset of 50,000 Synthetic and Photorealistic Foot Images along with a Novel AI Library for Foot

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. All credit for this research goes to the researchers of this project. Check out the Paper and Project. We are also on Telegram and WhatsApp.

Data Scarcity

Data Scarcity Computer Vision AI AI

ByteDance Researchers Introduce Tarsier2: A Large Vision-Language Model (LVLM) with 7B Parameters, Designed to Address the Core Challenges of Video Understanding

Marktechpost

JANUARY 15, 2025

Video understanding has long presented unique challenges for AI researchers. Conclusion Tarsier2 marks a significant step forward in video understanding by addressing key challenges such as temporal alignment, hallucination reduction, and data scarcity. All credit for this research goes to the researchers of this project.

Data Scarcity

Data Scarcity Large Language Models AI Researcher AI Research

Few-Shot Preference Optimization (FSPO): A Novel Machine Learning Framework Designed to Model Diverse Sub-Populations in Preference Datasets to Elicit Personalization in Language Models for Open-Ended Question Answering

Marktechpost

MARCH 4, 2025

The approach generates over a million structured synthetic preferences to address data scarcity. Over 1M synthetic personalized preferences are generated to address data scarcity, ensuring diversity and consistency for effective real-world transfer. All credit for this research goes to the researchers of this project.

Machine Learning

Machine Learning Data Scarcity LLM OpenAI

This AI Paper Introduces SRDF: A Self-Refining Data Flywheel for High-Quality Vision-and-Language Navigation Datasets

Marktechpost

DECEMBER 15, 2024

The researchers also reported enhanced instruction diversity and richness, with over 10,000 unique words incorporated into the SRDF-generated dataset, addressing the vocabulary limitations of previous datasets. The SRDF approach addresses the long-standing challenge of data scarcity in VLN by automating dataset refinement.

Data Scarcity

Data Scarcity Data Quality Automation AI

Splunk Researchers Introduce MAG-V: A Multi-Agent Framework For Synthetic Data Generation and Reliable AI Trajectory Verification

Marktechpost

DECEMBER 10, 2024

By generating synthetic datasets, MAG-V reduces dependence on real customer data, addressing privacy concerns and data scarcity. The frameworks ability to verify trajectories using statistical and embedding-based features represents progress in AI system reliability. Dont Forget to join our 60k+ ML SubReddit.

Machine Learning

Machine Learning Data Scarcity LLM Large Language Models

Best practices to build generative AI applications on AWS

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

Generative AI Prompt Engineering Prompt Engineer AI

Synthetic Data: A Model Training Solution

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

Computer Vision Neural Network Auto-complete Data Scarcity

Meet Meta’s Speech-to-Text, Text-to-Speech model for more than 1100+ languages

Mlearning.ai

MAY 23, 2023

This innovative approach tackles the data scarcity issue for less common languages, allowing MMS to surpass this limitation. Most of us have used a AI assisant on the phone. This dependency significantly restricts the quantity of available training data, as manually generating transcriptions is both expensive and laborious.

Data Scarcity

Data Scarcity Algorithm OpenAI Machine Learning

This AI Paper Explores How Formal Systems Could Revolutionize Math LLMs

Marktechpost

DECEMBER 28, 2024

Many AI models excel in solving high school-level mathematical problems but struggle with advanced tasks such as theorem proving and abstract logical deductions. These challenges are compounded by data scarcity in advanced mathematics and the inherent difficulty of verifying intricate logical reasoning.

Data Scarcity

Data Scarcity Natural Language Processing Artificial Intelligence Artificial Intelligence

Open Artificial Knowledge (OAK) Dataset: A Large-Scale Resource for AI Research Derived from Wikipedia’s Main Categories

NeoBERT: Modernizing Encoder Models for Enhanced Language Understanding

Webinars

Trending Sources

AI Researchers At Mayo Clinic Introduce A Machine Learning-Based Method For Leveraging Diffusion Models To Construct A Multitask Brain Tumor Inpainting Algorithm

Webinars

Meta AI Researchers Introduce Token-Level Detective Reward Model (TLDR) to Provide Fine-Grained Annotations for Large Vision Language Models

Amazon AI Research Introduces BioBRIDGE: A Parameter-Efficient Machine Learning Framework to Bridge Independently Trained Unimodal Foundation Models to Establish Multimodal Behavior

A New AI Research from China Proposes SHIP: A Plug-and-Play Generative AI Approach to Improve Existing Fine-Tuning Methods

This Paper Introduces TF-T2V: A Novel Text-to-Video Generation Framework with Impressive Scalability and Performance Improvements

Award-Winning Breakthroughs at NeurIPS 2023: A Focus on Language Model Innovations

Meet AnomalyGPT: A Novel IAD Approach Based on Large Vision-Language Models (LVLM) to Detect Industrial Anomalies

This Paper Explores AI-Driven Hedging Strategies in Finance: A Deep Dive into the Use of Recurrent Neural Networks and k-Armed Bandit Models for Efficient Market Simulation and Risk Management

Meet LP-MusicCaps: A Tag-to-Pseudo Caption Generation Approach with Large Language Models to Address the Data Scarcity Issue in Automatic Music Captioning

University of Cambridge Researchers Introduce a Dataset of 50,000 Synthetic and Photorealistic Foot Images along with a Novel AI Library for Foot

ByteDance Researchers Introduce Tarsier2: A Large Vision-Language Model (LVLM) with 7B Parameters, Designed to Address the Core Challenges of Video Understanding

Few-Shot Preference Optimization (FSPO): A Novel Machine Learning Framework Designed to Model Diverse Sub-Populations in Preference Datasets to Elicit Personalization in Language Models for Open-Ended Question Answering

This AI Paper Introduces SRDF: A Self-Refining Data Flywheel for High-Quality Vision-and-Language Navigation Datasets

Splunk Researchers Introduce MAG-V: A Multi-Agent Framework For Synthetic Data Generation and Reliable AI Trajectory Verification

Best practices to build generative AI applications on AWS

Synthetic Data: A Model Training Solution

Meet Meta’s Speech-to-Text, Text-to-Speech model for more than 1100+ languages

This AI Paper Explores How Formal Systems Could Revolutionize Math LLMs

Stay Connected