What Is Fine-Tuning and How Does It Work in Neural Networks?
Developing, validating, and training a network from scratch can be an enormous task, in addition to requiring large data sets. This is why fine-tuning is so interesting.
Developing, validating, and training a network from scratch can be an enormous task, in addition to requiring large data sets. This is why fine-tuning is so interesting.
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...
In recent years, artificial intelligence has allowed the development of tools that automatically translate documents. These systems make it possible to break down language barriers and provide today's society with the opportunity to simplify tasks...
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...
The flood of articles, reviews, uses (sometimes humorous), anecdotes, fears and discomfort in the face of change seems to be dominating conversations between both friends and technology experts.
Immediacy, privacy, personalization, flexibility and financial viability are just some of the advantages of machine translation. This technology can even facilitate the tasks associated with content management.
It's not just about converting words...