Pangeanic Blog

We will explain what the figure of the NLP practitioner is, how it is characterized, how someone can be trained for it, what requirements must be met, etc.

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.

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...

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 ...

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...

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...

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...

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...

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...

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.