*Natural Language Processing acceleration: foundations and applications**
**Two complementary courses on Deep Learning and NLP*
January and February, 2023. San Sebastian, Spain
ONSITE ATTENDANCE ONLY
HANDS-ON, YOU LEARN TO IMPLEMENT THE MODELS
http://ixa.eus/NLPacceleration
Deep Learning neural network models have been successfully applied to
natural language processing, and are now changing radically how we
interact with machines (Siri, Alexa, machine translation or the Google
search engine). Large Language Models are at the core of these
developments, and are being used to crack "languages" in other
disciplines, ranging from programming languages (Copilot) to proteins
(AlphaFold) and gene sequences (GenSLM).
You can take either one or both courses:
Deep Learning for NLP <https://ixa.eus/dl4nlp> (January 9th to 27th, 35
hours, 14 evenings. 11th edition):
This course introduces in detail the machinery that makes Deep Learning
work for NLP, including the latest transformers and large language
models like GPT, BERT and T5. It also covers the use of prompts for
zero-shot and few-shot learning, as well as multimodal text-image models
like DALL-E. The course combines theoretical and practical hands-on
classes. Attendants will be able to understand the internal working of
the models, and implement them nearly from scratch in Tensorflow. The
aim is to allow attendees to acquire the ability to understand, modify
and apply current and future Deep Learning models to NLP and other areas.
Introduction to LT Applications <https://ixa.eus/iltapp> (July 11th to
15th, 20 hours, 5 afternoons. 3rd edition):
This course introduces the main techniques to build applications, and
apply them to core Language Technology applications such us Opinion
Mining, Named Entity Recognition, Fake News Detection or Question
Answering. The course will have a practical focus, learning to use
readily available LT toolkits (Spacy, Flair, etc.). The aim is to allow
attendees to acquire the required autonomy to apply LT technologies to
target applications.
*Registration* has to be done for each course, see respective websites.
Note that you only need to pay the insurance for one of the courses.
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