Applications for natural language processing (NLP) have exploded in the pastdecade. With the proliferation AI assistants and organizations infusing their businesses with more interactive human-machine experiences, understanding how NLP techniques can be used to manipulate analyze, and generate text-based data is essential.

Modern techniques can capture the nuance, context and sophistication of language just as humans do. And when designed correctly, developers can use these techniques to build powerful NLP applications that provide natural and seamless human-computer interactions within chatbots, AI voice agents, and more. Deep learning models have gained widespread popularity for NLP because of their ability to accurately generalize over a range of contexts and languages. Transformer-based models, such as Bidirectional Encoder Representations from Transformers (BERT), have revolutionized NLP offering accuracy comparable to human baselines on benchmarks like SQuAD for question-answer, entity recognition, intent recognition, sentiment analysis, and more.

The course is taking place on-line. 

Language: English

Registration and more information HERE or at

The course is organised by the IT4Innovations National Supercomputing Centre and is co-funded by PRACE as a PTC course (PRACE Training Course).