Marktechpost

SEPTEMBER 2, 2023

Researchers from Chinese Academy of Sciences, University of Chinese Academy of Sciences, Objecteye Inc., and Wuhan AI Research present AnomalyGPT, a unique IAD methodology based on LVLM, as shown in Figure 1, as neither existing IAD approaches nor LVLMs can adequately handle the IAD problem. Data scarcity is the first.

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Data Scarcity Large Language Models Natural Language Processing LLM 124

Marktechpost

AUGUST 3, 2023

Also, don’t forget to join our 27k+ ML SubReddit , 40k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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Data Scarcity Large Language Models BERT Natural Language Processing 52

Marktechpost

NOVEMBER 9, 2023

They also make available a sizable collection of artificially photorealistic photos matched with ground truth labels for these kinds of signals to overcome data scarcity. All credit for this research goes to the researchers of this project. Check out the Paper and Project. We are also on Telegram and WhatsApp.

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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. These awards highlight the latest achievements and novel approaches in AI research.

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Marktechpost

DECEMBER 10, 2024

By generating synthetic datasets, MAG-V reduces dependence on real customer data, addressing privacy concerns and data scarcity. The frameworks ability to verify trajectories using statistical and embedding-based features represents progress in AI system reliability. Dont Forget to join our 60k+ ML SubReddit.

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Machine Learning Data Scarcity LLM Large Language Models 71

AWS Machine Learning Blog

MARCH 14, 2024

Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models.

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Marktechpost

DECEMBER 15, 2024

The researchers also reported enhanced instruction diversity and richness, with over 10,000 unique words incorporated into the SRDF-generated dataset, addressing the vocabulary limitations of previous datasets. The SRDF approach addresses the long-standing challenge of data scarcity in VLN by automating dataset refinement.

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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.

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Mlearning.ai

MAY 23, 2023

This innovative approach tackles the data scarcity issue for less common languages, allowing MMS to surpass this limitation. Most of us have used a AI assisant on the phone. This dependency significantly restricts the quantity of available training data, as manually generating transcriptions is both expensive and laborious.

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