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Pangeanic Blog

EXPERT (4)

Steps and Best Practices in AI Model Training

Artificial intelligence model training is a process in which an algorithm is taught to correctly interpret data and make accurate decisions based on that data, in order to solve certain tasks.

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Transfer Learning From Large Language Models: Improving NLP Models With Preset Knowledge

Transfer learning from large language modelsis behind a multitude of successful launches and applications in recent times. While transfer learningas a concept is not new, its application to natural language processing is now opening particularly...

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Generative AI: Privacy, Data Protection and How  it Can Affect your Business

Generative Artificial Intelligence (GenAI) uses deep learning to create new content in various formats. It is based on neural networks, a machine-learning process that mimics the way a human brain learns. By analyzing and training user input data ...

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Generative AI and Copyright Issues

Generative artificial intelligence (ChatGPT, for example) has become very promising for researchers and content creators of all kinds. However, it also poses  some risks yet to be explored, such as copyright infringement, among others. As AI tools...

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Differences between anonymized aggregate data, de-identified data and anonymous data

Using data is essentialfor companies, institutions and public entities, whether it be for decision-making or to carry out scientific, economic or social studies.

However, to make use of data (store it, share it, analyze it, etc.), personal...

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The Imperative of Data Anonymization: Constructing Ethical AI Frameworks

We live in the age of data-driven decision-making. Data has become the new oil, and personal data is one of the most refined fuels. As a result, artificial intelligence (AI) has emerged as a transformative force, profoundly influencing every sector...

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What is the HIPAA privacy rule and how does it affect machine translation?

The HIPAA Privacy Rule was developed in response to the healthcare sector's growing reliance on information technology to enhance service delivery efficiency. Thus, the intention behind it is to protect data privacy in a complex landscape such as...

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GenAI, the Branch of Artificial Intelligence That Will Spark Many Discussions in 2023

Although you would think the term "Generative AI" is a relatively new concept, this is not necessarily the case. We have been surrounded by artificial intelligence for quite some time, perhaps since MIT created ELIZA in 1966. ELIZA was a...

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The Disadvantages of Back Translation and Synthetic Data in Machine Translation Systems

What are back translation and synthetic data?

Back translation and synthetic data are two popular and common techniques used to augment training datasets for Machine Translation (MT) systems and to enhance their performance.

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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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