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 118

Data Scarcity Large Language Models Natural Language Processing LLM 118

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 LLM 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

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 82

Prompt Engineer Prompt Engineering NLP Computer Vision 82

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 AI Modeling 40

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 AI Researcher AI Research 110

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

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

Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama. The implications of SaulLM-7B's success extend far beyond academic benchmarks.

Large Language Models 204

Large Language Models Natural Language Processing LLM Data Scarcity 204

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 123

Machine Learning Data Scarcity Large Language Models Natural Language Processing 123

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