AI Researcher Data Scarcity Large Language Models 
Marktechpost
JANUARY 28, 2025
Despite challenges such as data scarcity and computational demands, innovations like zero-shot learning and iterative optimization continue to push the boundaries of LLM capabilities. Individuals, AI researchers, etc., Individuals, AI researchers, etc.,
Marktechpost
JULY 22, 2024
However, acquiring such datasets presents significant challenges, including data scarcity, privacy concerns, and high data collection and annotation costs. Artificial (synthetic) data has emerged as a promising solution to these challenges, offering a way to generate data that mimics real-world patterns and characteristics.
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Marktechpost
MARCH 3, 2025
Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. Data Scarcity: Pre-training on small datasets (e.g., All credit for this research goes to the researchers of this project.
Marktechpost
AUGUST 3, 2023
Also, the limited number of available music-language datasets poses a challenge. With the scarcity of datasets, training a music captioning model successfully doesn’t remain easy. Large language models (LLMs) could be a potential solution for music caption generation. They opted for the powerful GPT-3.5
Unite.AI
JULY 5, 2024
Large Language Models (LLMs) are powerful tools not just for generating human-like text, but also for creating high-quality synthetic data. This capability is changing how we approach AI development, particularly in scenarios where real-world data is scarce, expensive, or privacy-sensitive.
Marktechpost
OCTOBER 26, 2024
The model’s performance is evaluated using three distinct accuracy metrics: token-level accuracy for individual token assessment, sentence-level accuracy for evaluating coherent text segments, and response-level accuracy for overall output evaluation. Don’t Forget to join our 55k+ ML SubReddit.
Marktechpost
SEPTEMBER 2, 2023
On various Natural Language Processing (NLP) tasks, Large Language Models (LLMs) such as GPT-3.5 Researchers from Chinese Academy of Sciences, University of Chinese Academy of Sciences, Objecteye Inc., They optimize the LVLM using synthesized anomalous visual-textual data and incorporating IAD expertise.
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