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.

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...

A Transformer is a type of deep learning architecture that uses an attention mechanism to process text sequences. Unlike traditional models based on recurrent neural networks, Transformers do not rely on sequential connections and are able to...

On March 22, 2023, we attended SlatorCon Remote, an online event where language industry experts and leaders came together to discuss this fascinating industry that is in constant growth. Some of the hot topics are new emerging markets and how...

What Are the Best Machine Learning Algorithms for NLP?

Nowadays, natural language processing (NLP) is one of the most relevant areas within artificial intelligence. In this context, machine-learning algorithms play a fundamental role in the...

In today’s NLP Techniques: The Most Powerful Natural Language Processing Methods, companies have access to large volumes of data, data that must be understood in order to deliver a better customer experience, to increase their competitive edge, to...

An automatic text classification system can use rules, learn through training, or combine the best of both methods.

The truth is that if you are looking for an advantageous document classification system for your company, you must apply AI-based...

The structure of aneural network works through a training process, known as deep learning, a subfield of machine learning. This is artificial intelligence (AI) technology applied to neuro-linguistic programming. 

You may be wondering exactly what...

Technologies are constantly evolving and people are relying on them more and more for everyday tasks, which means that the volume and availability of text data keeps on growing exponentially. With the rise of online services, it has been difficult...

After years of standstill and uncertainty about what the future held in all sectors, 2022 gave us a taste of long-forgotten "normality" as different ways of working and new opportunities emerged and stimulated markets.