Data Scarcity, Large Language Models and NLP - Artificial Intelligence Zone

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

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

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. GPT-4o mini response use case #2.

Data Quality

Data Quality Data Scarcity Automation Natural Language Processing

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NeoBERT: Modernizing Encoder Models for Enhanced Language Understanding

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.

BERT

BERT Data Scarcity Natural Language Processing Large Language Models

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

Unpacking the NLP Summit: The Promise and Challenges of Large Language Models

John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). Strategy and Data: Non-top-performers highlight strategizing (24%), talent availability (21%), and data scarcity (18%) as their leading challenges.

Large Language Models

Large Language Models NLP Metadata 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. These models facilitate effective communication and information access across diverse linguistic backgrounds.

Data Scarcity

Data Scarcity Large Language Models Natural Language Processing NLP

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

Brown University Researchers Propose LexC-Gen: A New Artificial Intelligence Method that Generates Low-Resource-Language Classification Task Data at Scale

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.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Data Scarcity NLP

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

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?

Large Language Models

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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

Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

FEBRUARY 6, 2024

SegGPT Many successful approaches from NLP are now being translated into computer vision. For instance, the analogy of the masked token prediction task used to train BERT is known as masked image modeling in computer vision. Comparison of few-shot inference between NLP and CV. Source: own study. Source: own study.

Prompt Engineering

Prompt Engineering Prompt Engineer NLP Computer Vision

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

Pickl AI

OCTOBER 9, 2024

What Are Small Language Models (SLMs)? Small Language Models (SLMs) are a subset of AI models specifically tailored for Natural Language Processing (NLP) tasks. This makes advanced NLP capabilities accessible even to smaller organisations.

Natural Language Processing

Natural Language Processing Data Scarcity Large Language Models AI

AI2 at EMNLP 2023

Allen AI

DECEMBER 4, 2023

They design a suite of tests based on AmbiEnt, presenting the first evaluation of pretrained LMs to recognize ambiguity and disentangle possible meanings, and encourage the field to rediscover the importance of ambiguity for NLP. Yet controlling these models through prompting alone is limited. GODEL, BlenderBot-1, Koala, Vicuna).

Natural Language Processing

Natural Language Processing Large Language Models Data Scarcity NLP

Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

FEBRUARY 12, 2024

SegGPT Many successful approaches from NLP are now being translated into computer vision. For instance, the analogy of the masked token prediction task used to train BERT is known as masked image modeling in computer vision. Comparison of few-shot inference between NLP and CV. Source: own study. Source: own study.

Prompt Engineering

Prompt Engineering Prompt Engineer NLP Computer Vision

Computer Vision in Robotics – An Autonomous Revolution

Viso.ai

FEBRUARY 11, 2024

Breakthroughs in Robotics CV Models Ask most experts, and they will probably say that we are still a few years out from computer vision in robotics’ “ChatGPT moment.” The integration of multimodal Large Language Models (LLMs) with robots is monumental in spearheading this field.

Computer Vision

Computer Vision Robotics Natural Language Processing Data Scarcity

Computer Vision in Robotics – An Autonomous Revolution

Viso.ai

FEBRUARY 11, 2024

Breakthroughs in Robotics CV Models Ask most experts, and they will probably say that we are still a few years out from computer vision in robotics’ “ChatGPT moment.” The integration of multimodal Large Language Models (LLMs) with robots is monumental in spearheading this field.

Computer Vision

Computer Vision Robotics Natural Language Processing 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

MentalArena: A Self-Play AI Framework Designed to Train Language Models for Diagnosis and Treatment of Mental Health Disorders

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.

Data Scarcity

Data Scarcity Inference Engine Large Language Models Machine Learning

AI for Music Generation (Overview)

Viso.ai

DECEMBER 15, 2023

At the forefront of this transformation are Large Language Models (LLMs). These intelligent models have transcended their traditional linguistic boundaries to influence music generation. What sets it apart from predecessors is its ability to model beats that correspond with the lyrics instead of just rhythm.

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

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

With a vision to build a large language model (LLM) trained on Italian data, Fastweb embarked on a journey to make this powerful AI capability available to third parties. To tackle this data scarcity challenge, Fastweb had to build a comprehensive training dataset from scratch to enable effective model fine-tuning.

Large Language Models

Large Language Models Data Scarcity LLM Generative AI

Artificial Intelligence Zone

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

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

Webinars

Trending Sources

Innovations in Analytics: Elevating Data Quality with GenAI

Webinars

NeoBERT: Modernizing Encoder Models for Enhanced Language Understanding

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

Unpacking the NLP Summit: The Promise and Challenges of Large Language Models

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

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

Brown University Researchers Propose LexC-Gen: A New Artificial Intelligence Method that Generates Low-Resource-Language Classification Task Data at Scale

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

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

Achieving accurate image segmentation with limited data: strategies and techniques

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

AI2 at EMNLP 2023

Achieving accurate image segmentation with limited data: strategies and techniques

Computer Vision in Robotics – An Autonomous Revolution

Computer Vision in Robotics – An Autonomous Revolution

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

Generative AI in Healthcare

MentalArena: A Self-Play AI Framework Designed to Train Language Models for Diagnosis and Treatment of Mental Health Disorders

AI for Music Generation (Overview)

The Rise of Domain-Specific Language Models

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

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