Marktechpost

AUGUST 2, 2024

A major issue in RL is the data scarcity in embodied AI, where agents must interact with physical environments. This problem is exacerbated by the need for substantial reward-labeled data to train agents effectively. The large language model is the central controller, guiding the vision language and diffusion models.

Machine Learning 131

Machine Learning Data Scarcity Large Language Models Robotics 131

Marktechpost

JANUARY 15, 2024

One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models. Traditional translation models, primarily based on large language models (LLMs), perform well with languages abundant in data but need help with underrepresented languages.

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Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 131

Marktechpost

AUGUST 3, 2023

Also, the limited number of available music-language datasets poses a challenge. With the scarcity of datasets, training a music captioning model successfully doesn’t remain easy. Large language models (LLMs) could be a potential solution for music caption generation. They opted for the powerful GPT-3.5

Data Scarcity 52

Data Scarcity Large Language Models BERT Natural Language Processing 52

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. Fine-tuning Mistral 7B on AWS Fastweb recognized the importance of developing language models tailored to the Italian language and culture.

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Large Language Models Data Scarcity LLM Generative AI 76

Marktechpost

JULY 8, 2024

Researchers from Cohere For AI have developed a novel, scalable method for generating high-quality multilingual feedback data. This method aims to balance data coverage and improve the performance of multilingual large language models (LLMs). Also, don’t forget to follow us on Twitter.

Data Scarcity 132

Data Scarcity Large Language Models Natural Language Processing NLP 132

Marktechpost

DECEMBER 1, 2024

Simplified Synthetic Data Generation Designed to generate synthetic datasets using either local large language models (LLMs) or hosted models (OpenAI, Anthropic, Google Gemini, etc.), Promptwright makes synthetic data generation more accessible and flexible for developers and data scientists.

Python 91

Python LLM Data Scarcity Data Scientist 91

Marktechpost

JULY 22, 2024

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has highlighted the critical need for large, diverse, and high-quality datasets to train and evaluate foundation models. OAK dataset offers a comprehensive resource for AI research, derived from Wikipedia’s main categories.

AI Research 123

AI Research AI Researcher Data Scarcity Prompt Engineer 123

Marktechpost

MAY 28, 2024

Error correction models post-process ASR outputs, improving transcription accuracy by converting noisy hypotheses into clean text. Transformer-based error correction models have improved, especially with advanced WER-based metrics and noise augmentation strategies. Also, don’t forget to follow us on Twitter.

Data Scarcity 111

Data Scarcity Large Language Models Machine Learning Algorithm 111

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 124

Data Scarcity Large Language Models Natural Language Processing LLM 124

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). Implementation Hurdles: For these top performers, 24% see the models and tools as their primary challenge, followed by talent acquisition (20%) and scaling (19%).

Large Language Models 52

Large Language Models NLP Metadata Data Scarcity 52

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.

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Artificial Intelligence Artificial Intelligence Data Scarcity NLP 102

Marktechpost

APRIL 17, 2024

In the rapidly evolving landscape of artificial intelligence (AI), the quest for large, diverse, and high-quality datasets represents a significant hurdle. Don’t Forget to join our 40k+ ML SubReddit Want to get in front of 1.5 Also, don’t forget to follow us on Twitter. If you like our work, you will love our newsletter.

Data Scarcity 122

Data Scarcity Artificial Intelligence Artificial Intelligence AI Modeling 122

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?

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Large Language Models Natural Language Processing AI Research AI Researcher 103

Marktechpost

APRIL 5, 2024

.” Despite some research exploring the benefits and drawbacks of multilingual training and efforts to enhance models for smaller languages, most cutting-edge models still need to be primarily trained in large languages like English. Also, don’t forget to follow us on Twitter.

Data Scarcity 132

Data Scarcity AI Modeling AI AI 132

Marktechpost

JULY 25, 2024

Large language models (LLMs) show promise in solving high-school-level math problems using proof assistants, yet their performance still needs to improve due to data scarcity. Formal languages require significant expertise, resulting in limited corpora. If you like our work, you will love our newsletter.

Automation 105

Automation Data Scarcity Large Language Models Data Extraction 105

Marktechpost

OCTOBER 26, 2024

The model’s performance is evaluated using three distinct accuracy metrics: token-level accuracy for individual token assessment, sentence-level accuracy for evaluating coherent text segments, and response-level accuracy for overall output evaluation. Don’t Forget to join our 55k+ ML SubReddit.

AI Research 109

AI Research AI Researcher Data Scarcity Inference Engine 109

Marktechpost

JULY 18, 2024

The dataset’s open-domain nature allows for broad applications, from general sign language pretraining to medium-quality finetuning for specific tasks such as translation and caption alignment. In conclusion, YouTube-SL-25 is a pivotal advancement in sign language research, addressing the longstanding data scarcity issue.

Data Scarcity 122

Data Scarcity Machine Learning ML Large Language Models 122

Marktechpost

AUGUST 5, 2024

They use a three-stage training methodology—pretraining, ongoing training, and fine-tuning—to tackle the data scarcity of the SiST job. The team trains their model continuously using billions of tokens of low-quality synthetic speech translation data to further their goal of achieving modal alignment between voice and text.

Data Scarcity 119

Data Scarcity LLM Natural Language Processing NLP 119

AWS Machine Learning Blog

MARCH 14, 2024

Organizations must also carefully manage data privacy and security risks that arise from processing proprietary data with FMs. The skills needed to properly integrate, customize, and validate FMs within existing systems and data are in short supply.

Generative AI 137

Generative AI Prompt Engineer Prompt Engineering AI 137

Marktechpost

JULY 29, 2023

They aimed to train a generative model that can synthesize features by providing class names, which enables them to generate features for categories without data. Also, don’t forget to join our 27k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

AI Research 98

AI Research AI Researcher Generative AI Data Scarcity 98

Marktechpost

DECEMBER 10, 2024

These days, large language models (LLMs) are getting integrated with multi-agent systems, where multiple intelligent agents collaborate to achieve a unified objective. By generating synthetic datasets, MAG-V reduces dependence on real customer data, addressing privacy concerns and data scarcity.

Machine Learning 71

Machine Learning Data Scarcity LLM Large Language Models 71

TheSequence

APRIL 14, 2024

📝 Editorial: Neuro-Symbolic Models are Making a Comeback Large language models (LLMs) have dominated the AI narrative in recent years to the point that we almost need to wonder about the future of other areas of machine learning. Neuro-symbolic models are back!

Data Scarcity 52

Data Scarcity LLM Neural Network ML 52

Marktechpost

MAY 20, 2024

Because of this restriction, models trained on it may not be able to be extended to more general real-world scenarios. Acquiring high-quality data is difficult, and copyright constraints frequently hinder sharing it. Consequently, cutting-edge approaches to data scarcity and data augmentation should be the focus of future studies.

Data Scarcity 59

Data Scarcity Artificial Intelligence Artificial Intelligence Data Analysis 59

Viso.ai

FEBRUARY 11, 2024

Machine Vision Applications of Computer Vision in Robotics Challenges of Computer Vision in Robotics Breakthroughs in Robotics CV Models About us: Viso Suite is our no-code, enterprise computer vision software. The integration of multimodal Large Language Models (LLMs) with robots is monumental in spearheading this field.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

Machine Vision Applications of Computer Vision in Robotics Challenges of Computer Vision in Robotics Breakthroughs in Robotics CV Models About us: Viso Suite is our no-code, enterprise computer vision software. The integration of multimodal Large Language Models (LLMs) with robots is monumental in spearheading this field.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 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

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

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 136

Machine Learning Data Scarcity Large Language Models Natural Language Processing 136

AWS Machine Learning Blog

DECEMBER 4, 2024

About the NVIDIA Nemotron model family At the forefront of the NVIDIA Nemotron model family is Nemotron-4, as stated by NVIDIA, it is a powerful multilingual large language model (LLM) trained on an impressive 8 trillion text tokens, specifically optimized for English, multilingual, and coding tasks.

Auto-complete 112

Auto-complete Data Scarcity Large Language Models Machine Learning 112

Marktechpost

SEPTEMBER 15, 2024

Large Language Models (LLMs) have revolutionized natural language processing in recent years. The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family. If you like our work, you will love our newsletter.

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BERT LLM Large Language Models Categorization 122

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 111

Data Scarcity Inference Engine Large Language Models Machine Learning 111