Marktechpost

MAY 8, 2024

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

Deep Learning 122

Deep Learning Neural Network Data Scarcity Natural Language Processing 122

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 130

Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 130

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 131

Data Scarcity Large Language Models Natural Language Processing NLP 131

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

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

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 123

Data Scarcity Large Language Models Natural Language Processing LLM 123

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 117

Data Scarcity LLM Natural Language Processing NLP 117

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.

Large Language Models 110

Large Language Models Natural Language Processing Machine Learning AI Research 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 103

Large Language Models NLP Neural Network Data Scarcity 103

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. Introduction The landscape of Artificial Intelligence (AI) is rapidly evolving, with language models playing a pivotal role in this transformation.

Natural Language Processing 52

Natural Language Processing Data Scarcity Large Language Models AI 52

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

MAY 29, 2024

Multi-Task Learning Deep Learning is a towering pillar in the vast landscape of artificial intelligence, revolutionising various domains with remarkable capabilities. Deep Learning algorithms have become integral to modern technology, from image recognition to Natural Language Processing.

Data Scarcity 52

Data Scarcity Neural Network Deep Learning Natural Language Processing 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 120

BERT LLM Large Language Models Categorization 120

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 NLP Data Scarcity 52

Viso.ai

DECEMBER 18, 2023

Access to synthetic data is valuable for developing effective artificial intelligence (AI) and machine learning (ML) models. Real-world data often poses significant challenges, including privacy, availability, and bias. To address these challenges, we introduce synthetic data as an ML model training solution.

Computer Vision 52

Computer Vision Neural Network Auto-complete Machine Learning 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 Engineer 105

Prompt Engineer Prompt Engineering NLP Computer Vision 105

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

Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. As we move forward, several emerging trends are shaping the future of Data Science, enhancing its capabilities and applications.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

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.

Computer Vision 52

Computer Vision Deep Learning AI AI 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.

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 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

DECEMBER 28, 2024

Formal mathematical reasoning represents a significant frontier in artificial intelligence, addressing fundamental logic, computation, and problem-solving challenges. These challenges are compounded by data scarcity in advanced mathematics and the inherent difficulty of verifying intricate logical reasoning.

Data Scarcity 84

Data Scarcity Natural Language Processing Artificial Intelligence Artificial Intelligence 84

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 101

Large Language Models Data Scarcity LLM Generative AI 101