Marktechpost

MAY 11, 2024

With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules.

Large Language Models 126

Large Language Models NLP Data Scarcity Computational Linguistics 126

Marktechpost

JANUARY 15, 2024

Machine translation, an integral branch of Natural Language Processing, is continually evolving to bridge language gaps across the globe. One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models.

Large Language Models 128

Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 128

Marktechpost

JULY 8, 2024

Multilingual natural language processing (NLP) is a rapidly advancing field that aims to develop language models capable of understanding & generating text in multiple languages. These models facilitate effective communication and information access across diverse linguistic backgrounds.

Data Scarcity 130

Data Scarcity Large Language Models Natural Language Processing NLP 130

Marktechpost

OCTOBER 11, 2024

GANs are a proven technique for creating realistic, high-quality synthetic data. Distilabel is a scalable, efficient, and flexible solution suitable for various AI applications, including image classification, natural language processing, and medical imaging.

Data Scarcity 107

Data Scarcity Neural Network Natural Language Processing Machine Learning 107

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 134

Machine Learning Data Scarcity Large Language Models Natural Language Processing 134

Marktechpost

AUGUST 3, 2023

Subsequently, a team of researchers from South Korea has developed a method called LP-MusicCaps (Large language-based Pseudo music caption dataset), creating a music captioning dataset by applying LLMs carefully to tagging datasets. This resulted in the generation of approximately 2.2M captions paired with 0.5M audio clips.

Data Scarcity 52

Data Scarcity Large Language Models BERT Natural Language Processing 52

Marktechpost

MAY 8, 2024

These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution. Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology.

Deep Learning 120

Deep Learning Neural Network Data Scarcity Natural Language Processing 120

Unite.AI

JANUARY 22, 2024

Synthetic data , artificially generated to mimic real data, plays a crucial role in various applications, including machine learning , data analysis , testing, and privacy protection. However, generating synthetic data for NLP is non-trivial, demanding high linguistic knowledge, creativity, and diversity.

NLP 167

NLP BERT Data Scarcity Large Language Models 167

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.

Data Scarcity 120

Data Scarcity Large Language Models Natural Language Processing LLM 120

Marktechpost

AUGUST 5, 2024

The ability to translate spoken words into another language in real time is known as simultaneous speech translation, and it paves the way for instantaneous communication across language barriers. There has been a lot of buzz about machine-assisted autonomous interpretation in natural language processing (NLP).

Data Scarcity 114

Data Scarcity LLM Natural Language Processing NLP 114

Topbots

DECEMBER 19, 2023

A key finding is that for a fixed compute budget, training with up to four epochs of repeated data shows negligible differences in loss compared to training with unique data. The paper also explores alternative strategies to mitigate data scarcity.

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Large Language Models Natural Language Processing Machine Learning AI Researcher 110

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.

Large Language Models 102

Large Language Models NLP Neural Network Data Scarcity 102

Pickl AI

OCTOBER 21, 2024

By leveraging auxiliary information such as semantic attributes, ZSL enhances scalability, reduces data dependency, and improves generalisation. This innovative approach is transforming applications in computer vision, Natural Language Processing, healthcare, and more.

Natural Language Processing 52

Natural Language Processing Data Scarcity Computer Vision Machine Learning 52

Pickl AI

OCTOBER 9, 2024

Summary: Small Language Models (SLMs) are transforming the AI landscape by providing efficient, cost-effective solutions for Natural Language Processing tasks. What Are Small Language Models (SLMs)? Frequently Asked Questions What is a Small Language Model (SLM)?

Natural Language Processing 52

Natural Language Processing Data Scarcity Large Language Models AI 52

Marktechpost

SEPTEMBER 15, 2024

Large Language Models (LLMs) have revolutionized natural language processing in recent years. These approaches have shown exceptional performance across various tasks, including language generation, understanding, and domain-specific applications.

BERT 117

BERT LLM Large Language Models Categorization 117

Pickl AI

MAY 29, 2024

Deep Learning algorithms have become integral to modern technology, from image recognition to Natural Language Processing. For instance, a model trained on MTL can predict multiple medical conditions from patient data, such as diagnosing diseases and estimating prognosis simultaneously. What is Tokenization in NLP?

Data Scarcity 52

Data Scarcity Neural Network Deep Learning Natural Language Processing 52

AWS Machine Learning Blog

FEBRUARY 12, 2025

Although fine-tuning with a large amount of high-quality original data remains the ideal approach, our findings highlight the promising potential of synthetic data generation as a viable solution when dealing with data scarcity. Yiyue holds a Ph.D.

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LLM Generative AI Deep Learning Data Scarcity 75

Pickl AI

FEBRUARY 1, 2023

It helps in overcoming some of the drawbacks and bottlenecks of Machine Learning: Data scarcity: Transfer Learning technology doesn’t require reliance on larger data sets. This technology allows models to be fine-tuned using a limited amount of data. Thus it is computationally lesser expensive.

Deep Learning 52

Deep Learning Convolutional Neural Networks Machine Learning Neural Network 52

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. Hearst, Daniel S.

Natural Language Processing 52

Natural Language Processing Large Language Models Data Scarcity NLP 52

deepsense.ai

FEBRUARY 6, 2024

Illustration of a few-shot segmentation process. Segment Anything Model (SAM) Inspired by the success of prompting techniques utilized in the field of natural language processing, researchers from Meta AI proposed the Segment Anything Model (SAM), which aims to perform image segmentation based on segmentation prompts.

Prompt Engineering 105

Prompt Engineering Prompt Engineer NLP Computer Vision 105

Viso.ai

JANUARY 2, 2024

Deep Dive: Convolutional Neural Network Algorithms for Specific Challenges CNNs, while powerful, face distinct challenges in their application, particularly in scenarios like data scarcity, overfitting, and unstructured data environments.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology. It’s capable of scalable, photorealistic data generation that includes accurate annotations for training.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology. It’s capable of scalable, photorealistic data generation that includes accurate annotations for training.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 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

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

Pickl AI

DECEMBER 4, 2024

Democratisation of Data : Non-technical users can engage with advanced analytics tools, fostering a culture of data-driven decision-making across all levels of an organisation. 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

John Snow Labs

AUGUST 7, 2024

Disease Diagnosis Generative AI enhances disease diagnosis by enhancing the accuracy and efficiency of interpreting data. Healthcare NLP (Natural Language Processing) technologies extract insights from physician records, patient histories and diagnostic reports facilitating precise diagnosis. This improves access to care.

Generative AI 59

Generative AI AI AI Algorithm 59

deepsense.ai

FEBRUARY 12, 2024

Illustration of a few-shot segmentation process. Segment Anything Model (SAM) Inspired by the success of prompting techniques utilized in the field of natural language processing, researchers from Meta AI proposed the Segment Anything Model (SAM), which aims to perform image segmentation based on segmentation prompts.

Prompt Engineering 52

Prompt Engineering Prompt Engineer NLP Computer Vision 52

John Snow Labs

FEBRUARY 29, 2024

Disease Diagnosis Generative AI enhances disease diagnosis by enhancing the accuracy and efficiency of interpreting data. Healthcare NLP (Natural Language Processing) technologies extract insights from physician records, patient histories and diagnostic reports facilitating precise diagnosis. This improves access to care.

Generative AI 40

Generative AI AI AI Algorithm 40

Marktechpost

DECEMBER 28, 2024

Unlike natural language processing or vision-based AI, this area uniquely combines structured logic with the creative elements of human-like reasoning, holding the promise of transformative advancements. This has created a critical need for new approaches to bridge these gaps.

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.

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Large Language Models Data Scarcity LLM Generative AI 100