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.

Data Scarcity 107

Data Scarcity AI Modeling AI AI 107

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. For instance, in domains where authentic data is rare or sensitive, synthetic data emerges as a scalable and customizable alternative. Yet synthetic data has its challenges.

Data Scarcity 117

Data Scarcity Artificial Intelligence Artificial Intelligence AI Modeling 117

Unite.AI

SEPTEMBER 12, 2024

The principle behind this is straightforward: better data results in better models. Much like a solid foundation is essential for a structure's stability, an AI model's effectiveness is fundamentally linked to the quality of the data it is built upon. Data scarcity is another significant issue.

Data Quality 157

Data Quality Data Scarcity AI AI 157

Marktechpost

SEPTEMBER 30, 2024

These applications can significantly impact health management by monitoring human behavior and providing critical data for health assessments. However, due to the variability in individual behaviors, environmental factors, and the physical placement of devices, the performance of generic AI models is often hindered.

AI Modeling 101

AI Modeling Data Scarcity Artificial Intelligence Artificial Intelligence 101

Marktechpost

JULY 8, 2024

Consequently, many languages still need to be represented, limiting AI technologies’ applicability and fairness. Addressing this disparity requires innovative approaches to enhance the quality and diversity of multilingual datasets, ensuring that AI models can perform effectively across a broad spectrum of languages.

Data Scarcity 130

Data Scarcity Large Language Models Natural Language Processing NLP 130

Marktechpost

OCTOBER 11, 2024

Using GANs to generate high-quality synthetic data, Distilabel addresses key issues such as data scarcity, bias, and privacy concerns. This framework can enhance the development of AI models by offering diverse, representative datasets, ultimately improving model performance and reliability across different domains.

Data Scarcity 107

Data Scarcity Neural Network Natural Language Processing Machine Learning 107

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 117

Neural Network Data Scarcity Artificial Intelligence Artificial Intelligence 117

TheSequence

NOVEMBER 20, 2024

This essay explores the thesis of the "end of data" for AI models, examining both sides of the argument and delving into potential solutions such as extracting higher quality data and generating synthetic datasets.

Data Scarcity 59

Data Scarcity Generative AI AI Modeling AI 59

AssemblyAI

SEPTEMBER 22, 2023

In August – Meta released a tool for AI-generated audio named AudioCraft and open-sourced all of its underlying models, including MusicGen. Last week – StabilityAI launched StableAudio , a subscription-based platform for creating music with AI models.

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

NYU Center for Data Science

FEBRUARY 22, 2024

Designing an AI model to solve these problems became the challenge of Trinh’s PhD, which he undertook under the advisement of CDS Assistant Professor of Computer Science & Data Science He He.

Data Scarcity 98

Data Scarcity Artificial Intelligence Artificial Intelligence Data Science 98

Topbots

DECEMBER 19, 2023

The findings indicate that alleged emergent abilities might evaporate under different metrics or more robust statistical methods, suggesting that such abilities may not be fundamental properties of scaling AI models. The paper also explores alternative strategies to mitigate data scarcity.

Large Language Models 110

Large Language Models Natural Language Processing Machine Learning AI Research 110

Pickl AI

MAY 29, 2024

Instead of training separate models for each task, we can train a single model for multiple tasks, leading to significant time, memory, and energy savings. Handling of Data Scarcity and Label Noise Multi-task learning also excels in handling data scarcity and label noise, two common challenges in Machine Learning.

Data Scarcity 52

Data Scarcity Neural Network Deep Learning Natural Language Processing 52

Pickl AI

OCTOBER 9, 2024

This blog explores the innovations in AI driven by SLMs, their applications, advantages, challenges, and future potential. What Are Small Language Models (SLMs)? Small Language Models (SLMs) are a subset of AI models specifically tailored for Natural Language Processing (NLP) tasks.

Natural Language Processing 52

Natural Language Processing Data Scarcity Large Language Models AI 52

Viso.ai

DECEMBER 18, 2023

Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: data scarcity and privacy concerns.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Pickl AI

FEBRUARY 1, 2023

Transfer Learning is a technique in Machine Learning where a model is pre-trained on a large and general task. Since this technology operates in transferring weights from AI models, it eventually makes the training process for newer models faster and easier.

Deep Learning 52

Deep Learning Convolutional Neural Networks Machine Learning Neural Network 52

AWS Machine Learning Blog

MARCH 14, 2024

Dealing with limited target data – In some cases, there is limited real-world data available for the target task. Model customization uses the pre-trained weights learned on larger datasets to overcome this data scarcity. You can potentially implement RAG with a customized model.

Generative AI 122

Generative AI Prompt Engineering Prompt Engineer AI 122

John Snow Labs

AUGUST 7, 2024

This breakthrough enabled the generation of data and images that have since played a crucial role in training medical professionals and developing diagnostic tools while maintaining patient privacy. They simulate trials predict responses and generate synthetic biological data to accelerate research while ensuring safety and effectiveness.

Generative AI 59

Generative AI AI AI Algorithm 59

Heartbeat

FEBRUARY 27, 2024

In an increasingly interconnected and diverse world where communication transcends language barriers, the ability to communicate effectively with AI models in different languages is a vital tool. It is a vital procedure that ensures AI models can respond accurately and sensitively in various linguistic circumstances.

Prompt Engineer 40

Prompt Engineer Prompt Engineering Robotics Deep Learning 40

Viso.ai

DECEMBER 6, 2023

Edge Computing: With the growth in data volume, processing visual data at the edge has become a crucial concept for the adoption of computer vision. Edge AI involves processing data near the source. Therefore, edge devices like servers or computers are connected to cameras and run AI models in real-time applications.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

John Snow Labs

FEBRUARY 29, 2024

This breakthrough enabled the generation of data and images that have since played a crucial role in training medical professionals and developing diagnostic tools while maintaining patient privacy. They simulate trials predict responses and generate synthetic biological data to accelerate research while ensuring safety and effectiveness.

Generative AI 40

Generative AI AI AI Algorithm 40

Viso.ai

JANUARY 16, 2024

Types of N-Shot Learnings Unlike supervised learning, N-shot learning works to overcome the challenge of training deep learning and computer vision models with limited labeled data. For instance, recent research from Carnegie Mellon developed a framework to use audio and text to learn about visual data.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Algorithm 52

Unite.AI

MARCH 13, 2024

For offline use, Mistral AI's model boasts superior performance on coding tasks compared to Llama models, presenting an optimal choice for local LLM deployment, particularly for users with specific performance and hardware resource considerations.

Natural Language Processing 201

Natural Language Processing Large Language Models Data Scarcity LLM 201

Unite.AI

JANUARY 13, 2025

Real-Time and Offline Processing : Our dual-track system supports low-latency real-time writes and high-throughput offline imports, ensuring data freshness. Embedded AI Models : By integrating multimodal embedding and ranking models, weve lowered the barrier to implementing complex search applications.

Data Scarcity 144

Data Scarcity ETL Data Ingestion Software Engineer 144

AWS Machine Learning Blog

DECEMBER 4, 2024

The NVIDIA Nemotron family, available as NVIDIA NIM microservices, offers a cutting-edge suite of language models now available through Amazon Bedrock Marketplace, marking a significant milestone in AI model accessibility and deployment.

Machine Learning 92

Machine Learning Large Language Models Data Scarcity Auto-complete 92

Marktechpost

APRIL 4, 2024

Gretel has made a remarkable contribution to the field of AI by launching the most extensive and diverse open-source Text-to-SQL dataset. This move will significantly accelerate the training of AI models and will enhance the quality of data-driven insights across various industries.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence AI Modeling Data Scarcity 111

Pickl AI

DECEMBER 4, 2024

Generative AI Generative AI is gaining traction in Data Science for its ability to create synthetic datasets that can be used for training Machine Learning models. This technology helps overcome challenges related to data scarcity and bias by generating realistic data that mimics real-world scenarios.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

Viso.ai

DECEMBER 15, 2023

It addresses issues in traditional end-to-end models, like data scarcity and lack of melody control, by separating lyric-to-template and template-to-melody processes. This approach enables high-quality, controllable melody generation with minimal lyric-melody paired data.

Computer Vision 52

Computer Vision Deep Learning AI AI 52

Marktechpost

DECEMBER 28, 2024

Despite progress in applying AI to mathematics, significant challenges remain in addressing complex, abstract problems. Many AI models excel in solving high school-level mathematical problems but struggle with advanced tasks such as theorem proving and abstract logical deductions.

Data Scarcity 82

Data Scarcity Natural Language Processing Artificial Intelligence Artificial Intelligence 82

AWS Machine Learning Blog

DECEMBER 18, 2024

Overcoming data scarcity with translation and synthetic data generation When fine-tuning a custom version of the Mistral 7B LLM for the Italian language, Fastweb faced a major obstacle: high-quality Italian datasets were extremely limited or unavailable.

Large Language Models 90

Large Language Models Data Scarcity LLM Generative AI 90

Pickl AI

DECEMBER 3, 2024

What is Generative AI? Generative AI refers to a subset of Artificial Intelligence that focuses on creating new content or data based on existing datasets. Unlike traditional AI models that primarily analyze and interpret data, GenAI generates new outputs, such as text, images, audio, and even synthetic datasets.

Generative AI 52

Generative AI Automation Data Quality Data Scarcity 52