Data Scarcity, Natural Language Processing and NLP

Leveraging Linguistic Expertise in NLP: A Deep Dive into RELIES and Its Impact on Large Language Models

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

Large Language Models NLP Data Scarcity Computational Linguistics

Innovation in Synthetic Data Generation: Building Foundation Models for Specific Languages

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

NLP BERT Data Scarcity Large Language Models

Advancing Cantonese NLP: Bridging Development Gaps in Large Language Models with New Benchmarks and Open-Source Innovations

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

Large Language Models NLP Neural Network Data Scarcity

This AI Paper from Cohere for AI Presents a Comprehensive Study on Multilingual Preference Optimization

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. One of the main issues in multilingual NLP is the predominant focus on a few major languages, such as English and Chinese.

Data Scarcity

Data Scarcity Large Language Models Natural Language Processing NLP

Innovations in Analytics: Elevating Data Quality with GenAI

Towards AI

OCTOBER 31, 2024

GenAI can help by automatically clustering similar data points and inferring labels from unlabeled data, obtaining valuable insights from previously unusable sources. Natural Language Processing (NLP) is an example of where traditional methods can struggle with complex text data.

Data Quality

Data Quality Data Scarcity Automation Natural Language Processing

Meet AnomalyGPT: A Novel IAD Approach Based on Large Vision-Language Models (LVLM) to Detect Industrial Anomalies

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

Data Scarcity Large Language Models Natural Language Processing LLM

Bytedance Researchers Present Cross Language Agent – Simultaneous Interpretation (CLASI): A High-Quality And Human-Like Simultaneous Speech Translation (SiST) System

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

Data Scarcity LLM Natural Language Processing NLP

Award-Winning Breakthroughs at NeurIPS 2023: A Focus on Language Model Innovations

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

Large Language Models Natural Language Processing AI Researcher AI Research

Achieving accurate image segmentation with limited data: strategies and techniques

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

Prompt Engineer Prompt Engineering NLP Computer Vision

Zero-Shot Learning: Unlocking the Power of AI Without Training Data

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

Natural Language Processing Data Scarcity Computer Vision Machine Learning

Innovations in AI: How Small Language Models are Shaping the Future

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)? This makes advanced NLP capabilities accessible even to smaller organisations.

Natural Language Processing

Natural Language Processing Data Scarcity Large Language Models AI

Unlocking Deep Learning’s Potential with Multi-Task Learning

Pickl AI

MAY 29, 2024

Deep Learning algorithms have become integral to modern technology, from image recognition to Natural Language Processing. Also read: What is Information Retrieval in NLP? What is Tokenization in NLP? However, amidst this advancement, multi-task learning emerges as a beacon of innovation.

Data Scarcity

Data Scarcity Neural Network Deep Learning Natural Language Processing

What is Transfer Learning in Deep Learning? [Examples & Application]

Pickl AI

FEBRUARY 1, 2023

Thus it reduces the amount of data and computational need. Transfer Learning has various applications like computer vision, NLP, recommendation systems, and robotics. This technology allows models to be fine-tuned using a limited amount of data. Eventually, making it a powerful and efficient tool in Machine Learning.

Deep Learning

Deep Learning Convolutional Neural Networks Neural Network Machine Learning

How Fastweb fine-tuned the Mistral model using Amazon SageMaker HyperPod as a first step to build an Italian large language model

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. In his free time, Giuseppe enjoys playing football.

Large Language Models

Large Language Models Data Scarcity LLM Generative AI

AI2 at EMNLP 2023

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

Natural Language Processing Large Language Models Data Scarcity LLM

Computer Vision in Robotics – An Autonomous Revolution

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

Computer Vision Robotics Natural Language Processing Data Scarcity

Computer Vision in Robotics – An Autonomous Revolution

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

Computer Vision Robotics Natural Language Processing Data Scarcity

Synthetic Data: A Model Training Solution

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

Computer Vision Neural Network Auto-complete Data Scarcity

Generative AI in Healthcare: Use Cases, Benefits, and Challenges

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.

Generative AI

Generative AI AI AI Algorithm

Generative AI in Healthcare

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.

Generative AI

Generative AI AI AI Algorithm

Predicting the Future of Data Science

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

Data Science Data Scientist Machine Learning Data Analysis

AI for Music Generation (Overview)

Viso.ai

DECEMBER 15, 2023

Symbolic Music Understanding ( MusicBERT ): MusicBERT is based on the BERT (Bidirectional Encoder Representations from Transformers) NLP model. Muzic utilizes this tool to interpret and process musical symbols at a granular level. It’s used to generate cohesive and creative song lyrics, contributing to the songwriting process.

Computer Vision

Computer Vision Deep Learning AI AI

The Rise of Domain-Specific Language Models

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.

Natural Language Processing

Natural Language Processing Large Language Models Data Scarcity LLM

Artificial Intelligence Zone

Leveraging Linguistic Expertise in NLP: A Deep Dive into RELIES and Its Impact on Large Language Models

Innovation in Synthetic Data Generation: Building Foundation Models for Specific Languages

Trending Sources

Advancing Cantonese NLP: Bridging Development Gaps in Large Language Models with New Benchmarks and Open-Source Innovations

This AI Paper from Cohere for AI Presents a Comprehensive Study on Multilingual Preference Optimization

Innovations in Analytics: Elevating Data Quality with GenAI

Meet AnomalyGPT: A Novel IAD Approach Based on Large Vision-Language Models (LVLM) to Detect Industrial Anomalies

Bytedance Researchers Present Cross Language Agent – Simultaneous Interpretation (CLASI): A High-Quality And Human-Like Simultaneous Speech Translation (SiST) System

Award-Winning Breakthroughs at NeurIPS 2023: A Focus on Language Model Innovations

Achieving accurate image segmentation with limited data: strategies and techniques

Zero-Shot Learning: Unlocking the Power of AI Without Training Data

Innovations in AI: How Small Language Models are Shaping the Future

Unlocking Deep Learning’s Potential with Multi-Task Learning

What is Transfer Learning in Deep Learning? [Examples & Application]

How Fastweb fine-tuned the Mistral model using Amazon SageMaker HyperPod as a first step to build an Italian large language model

AI2 at EMNLP 2023

Computer Vision in Robotics – An Autonomous Revolution

Computer Vision in Robotics – An Autonomous Revolution

Synthetic Data: A Model Training Solution

Generative AI in Healthcare: Use Cases, Benefits, and Challenges

Generative AI in Healthcare

Predicting the Future of Data Science

AI for Music Generation (Overview)

The Rise of Domain-Specific Language Models

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