*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.
Erratum: correct date for Introduction to LT Applications
February 1st to March 2nd 2023, 22.5 hours, 9 afternoons. 5th edition
22/11/17 14:38(e)an, eneko agirre via Corpora igorleak idatzi zuen:
*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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