ChatGPT and Data Scarcity - Artificial Intelligence Zone

NVIDIA advances AI frontiers with CES 2025 announcements

AI News

JANUARY 7, 2025

“The ChatGPT moment for general robotics is just around the corner,” Huang declared. Pras Velagapudi, CTO at Agility, comments: Data scarcity and variability are key challenges to successful learning in robot environments.

Robotics

Robotics Data Scarcity Big Data Explainability

Innovations in Analytics: Elevating Data Quality with GenAI

Towards AI

OCTOBER 31, 2024

Three ways to use GenAI for better data Improving data quality can make it easier to apply machine learning and AI to analytics projects and answer business questions. Algorithms can automatically clean and preprocess data using techniques like outlier and anomaly detection.

Data Quality

Data Quality Data Scarcity Automation Natural Language Processing

Synthetic Data: A Double-Edged Sword for the Future of AI

Unite.AI

JANUARY 24, 2025

First, the growing demands of AI systems far outpace the speed at which humans can produce new data. As real-world data becomes increasingly scarce, synthetic data offers a scalable solution to meet these demands. Consequently, it's becoming increasingly difficult to differentiate between original and AI-generated content.

AI Developer

AI Developer AI Development Natural Language Processing AI

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What AI Music Generators Can Do (And How They Do It)

AssemblyAI

SEPTEMBER 22, 2023

Last year’s emergence of user-friendly interfaces for models like DALL-E 2 or Stable Diffusion for images and ChatGPT for text generation was key to boost the world’s attention to generative AI. Some people expect that a “ChatGPT moment” for AI-powered music generation is just around the corner.

Convolutional Neural Networks

Convolutional Neural Networks AI AI Data Scarcity

From Noisy Hypotheses to Clean Text: How Denoising LM (DLM) Improves Speech Recognition Accuracy

Marktechpost

MAY 28, 2024

Recent advances also explore large language models (LLMs) like ChatGPT for enhancing transcription accuracy through powerful linguistic representations. The DLM’s innovative use of synthetic data addresses the data scarcity issue that has hampered the performance of earlier error correction models.

Data Scarcity

Data Scarcity Large Language Models Machine Learning Algorithm

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

Marktechpost

OCTOBER 26, 2024

Previous attempts to improve VLM performance have primarily focused on Reinforcement Learning from Human Feedback (RLHF) techniques, which have successfully enhanced language models like ChatGPT and LLaMA 3.

AI Researcher

AI Researcher AI Research Data Scarcity Inference Engine

Advancing Cantonese NLP: Bridging Development Gaps in Large Language Models with New Benchmarks and Open-Source Innovations

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.

Large Language Models

Large Language Models NLP Neural Network Data Scarcity

Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

FEBRUARY 6, 2024

It sounds like ChatGPT for images, and it is actually named SegGPT. Conclusions The release of the Segment Anything Model has brought about a revolution in addressing data scarcity in image segmentation. While training such a model is a complex topic on its own, using it for inference is relatively straightforward.

Prompt Engineer

Prompt Engineer Prompt Engineering NLP Computer Vision

AI2 at EMNLP 2023

Allen AI

DECEMBER 4, 2023

They conduct an extensive human evaluation to obtain FACTSCOREs of people biographies generated by several state-of-the-art commercial LMs — InstructGPT, ChatGPT, and the retrieval-augmented PerplexityAI — and report new analysis demonstrating the need for such a fine-grained score (e.g., ChatGPT only achieves 58%).

Natural Language Processing

Natural Language Processing Large Language Models Data Scarcity NLP

Computer Vision in Robotics – An Autonomous Revolution

Viso.ai

FEBRUARY 11, 2024

Breakthroughs in Robotics CV Models Ask most experts, and they will probably say that we are still a few years out from computer vision in robotics’ “ChatGPT moment.” It’s capable of scalable, photorealistic data generation that includes accurate annotations for training.

Computer Vision

Computer Vision Robotics Natural Language Processing Data Scarcity

Computer Vision in Robotics – An Autonomous Revolution

Viso.ai

FEBRUARY 11, 2024

Breakthroughs in Robotics CV Models Ask most experts, and they will probably say that we are still a few years out from computer vision in robotics’ “ChatGPT moment.” It’s capable of scalable, photorealistic data generation that includes accurate annotations for training.

Computer Vision

Computer Vision Robotics Natural Language Processing Data Scarcity

Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

FEBRUARY 12, 2024

It sounds like ChatGPT for images, and it is actually named SegGPT. Conclusions The release of the Segment Anything Model has brought about a revolution in addressing data scarcity in image segmentation. While training such a model is a complex topic on its own, using it for inference is relatively straightforward.

Prompt Engineer

Prompt Engineer Prompt Engineering NLP Computer Vision

Small but Mighty: The Enduring Relevance of Small Language Models in the Age of LLMs

Marktechpost

SEPTEMBER 15, 2024

LLMs have gained widespread popularity, with ChatGPT reaching approximately 180 million users by March 2024. LLMs offer an efficient solution for data synthesis , addressing the limitations of human-created data and the need for task-specific smaller models.

BERT

BERT LLM Large Language Models Categorization

AI for Music Generation (Overview)

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. It extracts attributes directly from music sequences.

Computer Vision

Computer Vision Deep Learning AI AI

GenAI in Data Analytics

Pickl AI

DECEMBER 3, 2024

Role of Generative AI in Data Analytics Alt Text: Image showcasing the role of Generative AI in Data Analytics. Source: ChatGPT Generative AI (GenAI) is revolutionizing Data Analytics by automating complex processes, generating insights, and enhancing user interactions with data.

Generative AI

Generative AI Automation Data Quality Data Scarcity

Artificial Intelligence Zone

NVIDIA advances AI frontiers with CES 2025 announcements

Innovations in Analytics: Elevating Data Quality with GenAI

Webinars

Trending Sources

Synthetic Data: A Double-Edged Sword for the Future of AI

Webinars

What AI Music Generators Can Do (And How They Do It)

From Noisy Hypotheses to Clean Text: How Denoising LM (DLM) Improves Speech Recognition Accuracy

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

Advancing Cantonese NLP: Bridging Development Gaps in Large Language Models with New Benchmarks and Open-Source Innovations

Achieving accurate image segmentation with limited data: strategies and techniques

AI2 at EMNLP 2023

Computer Vision in Robotics – An Autonomous Revolution

Computer Vision in Robotics – An Autonomous Revolution

Achieving accurate image segmentation with limited data: strategies and techniques

Small but Mighty: The Enduring Relevance of Small Language Models in the Age of LLMs

AI for Music Generation (Overview)

GenAI in Data Analytics

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