Marktechpost

SEPTEMBER 8, 2024

Large language models (LLMs) have revolutionized natural language processing (NLP), particularly for English and other data-rich languages. However, this rapid advancement has created a significant development gap for underrepresented languages, with Cantonese being a prime example.

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Large Language Models NLP Neural Network Data Scarcity 103

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., Wikipedia + BookCorpus) restricts knowledge diversity.

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BERT Data Scarcity Natural Language Processing Large Language Models 75

Marktechpost

FEBRUARY 29, 2024

Data scarcity in low-resource languages can be mitigated using word-to-word translations from high-resource languages. However, bilingual lexicons typically need more overlap with task data, leading to inadequate translation coverage. Check out the Paper. If you like our work, you will love our newsletter.

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Artificial Intelligence Artificial Intelligence Data Scarcity NLP 100

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. The large language model is the central controller, guiding the vision language and diffusion models.

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Machine Learning Data Scarcity Large Language Models Robotics 130

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.

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Large Language Models Machine Learning Data Scarcity Algorithm 102

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

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Data Scarcity Large Language Models BERT Natural Language Processing 52

Marktechpost

JANUARY 15, 2024

One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models. Traditional translation models, primarily based on large language models (LLMs), perform well with languages abundant in data but need help with underrepresented languages.

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Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 130

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.

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AI Researcher AI Research Data Scarcity Prompt Engineer 122

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.

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Data Scarcity Artificial Intelligence Artificial Intelligence AI Modeling 120

Marktechpost

JULY 8, 2024

Researchers from Cohere For AI have developed a novel, scalable method for generating high-quality multilingual feedback data. This method aims to balance data coverage and improve the performance of multilingual large language models (LLMs).

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Data Scarcity Large Language Models Natural Language Processing NLP 131

Unite.AI

JANUARY 22, 2024

However, generating synthetic data for NLP is non-trivial, demanding high linguistic knowledge, creativity, and diversity. Different methods, such as rule-based and data-driven approaches, have been proposed to generate synthetic data.

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Marktechpost

SEPTEMBER 2, 2023

On various Natural Language Processing (NLP) tasks, Large Language Models (LLMs) such as GPT-3.5 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.

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Marktechpost

DECEMBER 1, 2024

Simplified Synthetic Data Generation Designed to generate synthetic datasets using either local large language models (LLMs) or hosted models (OpenAI, Anthropic, Google Gemini, etc.), Promptwright makes synthetic data generation more accessible and flexible for developers and data scientists.

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Python LLM Data Scarcity Data Scientist 90

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. Formal languages require significant expertise, resulting in limited corpora.

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Automation Data Scarcity Large Language Models Data Extraction 103

Marktechpost

APRIL 5, 2024

.” Despite some research exploring the benefits and drawbacks of multilingual training and efforts to enhance models for smaller languages, most cutting-edge models still need to be primarily trained in large languages like English.

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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. Outstanding Papers Awards Are Emerged Abilities of Large Language Models a Mirage?

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Large Language Models Natural Language Processing AI Researcher AI Research 110

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.

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AI Researcher AI Research Data Scarcity Inference Engine 107

Marktechpost

JULY 18, 2024

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. In conclusion, YouTube-SL-25 is a pivotal advancement in sign language research, addressing the longstanding data scarcity issue.

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Marktechpost

JANUARY 15, 2025

The models architecture includes a vision encoder, vision adaptor, and a large language model , combined in a three-stage training process: Pre-training : A dataset of 40 million video-text pairs, enriched with commentary videos that capture both low-level actions and high-level plot details, provides a solid foundation for learning.

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Data Scarcity Large Language Models AI Researcher AI Research 84

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.

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Data Scarcity LLM Natural Language Processing NLP 117

Marktechpost

DECEMBER 10, 2024

These days, large language models (LLMs) are getting integrated with multi-agent systems, where multiple intelligent agents collaborate to achieve a unified objective. By generating synthetic datasets, MAG-V reduces dependence on real customer data, addressing privacy concerns and data scarcity.

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Machine Learning Data Scarcity LLM Large Language Models 87

Marktechpost

JULY 29, 2023

Overall, the paper presents a significant contribution to the field by addressing the challenge of data scarcity for certain classes and enhancing the performance of CLIP fine-tuning methods using synthesized data. Check out the Paper. All Credit For This Research Goes To the Researchers on This Project.

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AI Researcher AI Research Generative AI Data Scarcity 98

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. Because of this restriction, models trained on it may not be able to be extended to more general real-world scenarios.

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Data Scarcity Artificial Intelligence Artificial Intelligence Data Analysis 57

Pickl AI

OCTOBER 9, 2024

With innovations in model compression and transfer learning, SLMs are being applied across diverse sectors. This blog discusses their advantages, challenges, and the promising future of these compact yet powerful models. How Do Small Language Models Compare to Large Language Models?

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AWS Machine Learning Blog

MARCH 14, 2024

Organizations must also carefully manage data privacy and security risks that arise from processing proprietary data with FMs. The skills needed to properly integrate, customize, and validate FMs within existing systems and data are in short supply.

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Allen AI

DECEMBER 4, 2023

Highlighted work from our institute appearing at this year’s EMNLP conference Empirical Methods in Natural Language Processing ( EMNLP ) is a leading conference in natural language processing and artificial intelligence. Yet controlling these models through prompting alone is limited.

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Natural Language Processing Large Language Models Data Scarcity NLP 52

deepsense.ai

FEBRUARY 6, 2024

In NLP, this refers to finding the most optimal text to feed the Large Language Model for enhanced performance. Observe that we need thousands of instances to match the performance of zero-shot models. Since we have already seen 3 inspirations from NLP, let’s go further and try to translate two more concepts.

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Prompt Engineer Prompt Engineering NLP Computer Vision 105

Viso.ai

FEBRUARY 11, 2024

Viso Suite is the only end-to-end computer vision platform Computer Vision vs. Robotics Vision vs. Machine Vision Computer Vision A sub-field of artificial intelligence (AI) and machine learning , computer vision enhances the ability of machines and systems to derive meaningful information from visual data.

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Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

Viso Suite is the only end-to-end computer vision platform Computer Vision vs. Robotics Vision vs. Machine Vision Computer Vision A sub-field of artificial intelligence (AI) and machine learning , computer vision enhances the ability of machines and systems to derive meaningful information from visual data.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

John Snow Labs

AUGUST 7, 2024

They advocate for the importance of transparency, informed consent protections, and the use of health information exchanges to avoid data monopolies and to ensure equitable benefits of Gen AI across different healthcare providers and patients. However as AI technology progressed its potential within the field also grew.

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Generative AI AI AI Algorithm 59

deepsense.ai

FEBRUARY 12, 2024

In NLP, this refers to finding the most optimal text to feed the Large Language Model for enhanced performance. Observe that we need thousands of instances to match the performance of zero-shot models. Since we have already seen 3 inspirations from NLP, lets go further and try to translate two more concepts.

Prompt Engineer 52

Prompt Engineer Prompt Engineering NLP Computer Vision 52

John Snow Labs

FEBRUARY 29, 2024

They advocate for the importance of transparency, informed consent protections, and the use of health information exchanges to avoid data monopolies and to ensure equitable benefits of Gen AI across different healthcare providers and patients​​. However as AI technology progressed its potential within the field also grew.

Generative AI 40

Generative AI AI AI Algorithm 40

Marktechpost

APRIL 4, 2024

In today’s age, the accuracy of data plays a crucial role in determining the efficiency of artificial intelligence (AI) systems. This move will significantly accelerate the training of AI models and will enhance the quality of data-driven insights across various industries.

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Artificial Intelligence Artificial Intelligence AI Modeling Data Scarcity 113

Marktechpost

APRIL 15, 2024

The rapid advancement of large language models has ushered in a new era of natural language processing capabilities. However, a significant challenge persists: most of these models are primarily trained on a limited set of widely spoken languages, leaving a vast linguistic diversity unexplored.

Machine Learning 135

Machine Learning Data Scarcity Large Language Models Natural Language Processing 135

Marktechpost

SEPTEMBER 15, 2024

Large Language Models (LLMs) have revolutionized natural language processing in recent years. The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family.

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Marktechpost

OCTOBER 15, 2024

These models are trained on data collected from social media, which introduces bias and may not accurately represent diverse patient experiences. Moreover, privacy concerns and data scarcity hinder the development of robust models for mental health diagnosis and treatment.

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Data Scarcity Inference Engine Large Language Models Machine Learning 109

Viso.ai

DECEMBER 15, 2023

AI music is revolutionizing the music industry through a wide range of artificial intelligence (AI) applications. At the forefront of this transformation are Large Language Models (LLMs). These intelligent models have transcended their traditional linguistic boundaries to influence music generation.

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Computer Vision Deep Learning AI AI 52