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Pangeanic Blog

DATA

Comprehensive Speech Data Processing for AI: A Flagship Project

In Artificial Intelligence systems, data quality is paramount. Poor training data—even in small proportions—can have devastating effects on a model’s final performance. Developers of all sizes understand...

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Translation for Artificial Intelligence (AI training data)

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries and the world as we understand it. They automate tasks, enhance efficiency, and drive innovation.

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What is content moderation?

The rise of global online platforms has brought about many good things, shrinking the world and helping us stay in touch with friends and relatives. It allows us to see what our friends and family are doing. But there is a flip side to it. As global...

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Vector Databases: Powering the Next Generation of AI Translation

The field of artificial intelligence and machine learning is evolving as fast as I write this article. Vector databases have emerged as a powerful tool for storing and retrieving high-dimensional data. Our weekly article dealing with the...

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10 consequences of excessive specialization that hinder professional careers

In professional fields, specializing in a specific sector has often been touted as a surefire path to success and recognition.

Extensive experience in a particular field has always been a way to strengthen personal branding and boost career...

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How Synthetic Data and Human IP-Clear Data Can Boost StartUps’ AI Projects

Artificial intelligence (AI) and particularly NLP applications like GenAI have taken the world by surprise from the end of 2022. They really shook R&D plans in 2023: Microsoft snapped a $10Bn deal with OpenAI for the customized use of its ChatGPT...

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The Importance of Human Parallel Data and Translations in Training MT Systems

It is a rare occurrence to find a spare 30 minutes in Manuel Herranz's busy schedule as Pangeanic's CEO. However, the topic of today's interview holds significant value for audiences who have been exploring Large Language Models, GenAI, and AI in...

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Audio Data Augmentation: Techniques and Methods

Data augmentation is a technique commonly used in machine learning and computer visionto artificially increase the size and diversity of a training data set. It consists of applying several transformations or modifications to existing data samples,...

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The Creation of Custom Data Sets to Meet Customer Needs: The BSC Project

Rapidly advancing technology and the growing need for accurate and efficient data analysis have led organizations to seek customized data sets tailored to their specific needs. 

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Synthetic Data vs Anonymized Data

What is synthetic data?

Synthetic data is data that has been artificially generated from a model trained to reproduce the characteristics and structure of the original data.

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