The clarity of annotation guidelines is a key building block to obtain quality data used to train machine learning models. Proper training and annotation guidelines for human labelers are key factors directly determining how well those models will...
Computer vision data sets are essential for training machine learning models to detect objects, faces, and other visual features. However, it can be difficult to know what to annotate and how to do it correctly.
The rise of eLearning has made education more accessible than ever before. The eLearning industry is valued at $315B in revenue, which makes it a lucrative sector many companies are stepping into. However, eLearning providers face one challenge:...
Text-to-speech (TTS) technology transforms written text into audio format with a human-like voice. It is based on natural language processing and machine learning algorithms and can be used on a wide...
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...
These days, intelligent data discovery tools allow organization leaders to accelerate analysis, benefit from AI-powered suggestions, detect what is most important in a timely manner, and perform the necessary actions or corrections.
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...
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