Generative AI, Deep Learning and Language Technology

Specialization courses by HiTZ Chair of Artificial Intelligence and Language Technology
Next edition: September-October, 2024, fully online

Cette série de cours de spécialisation offre une immersion complète dans les domaines de l'apprentissage profond, des grands modèles de langage (LLM, de l'anglais "Large Language Models") et de leurs applications impactantes. Ces cours couvrent un spectre allant des principes fondamentaux aux méthodologies les plus avancées. Nous vous offrons un parcours d'apprentissage complet pour acquérir une expérience pratique, car chaque cours comprend des exercices pratiques et des études de cas réels. Ces cours s'adressent aux professionnels, aux chercheurs et aux étudiants qui souhaitent comprendre et appliquer les dernières techniques en matière d'intelligence artificielle.

2024 Lire la suite: ici.

Past courses

2023

• 4Gune (2023/02/16)

The aim of the course is to provide an overview of Artificial Intelligence (AI) and Big Data at the present time, with special attention to methods, areas and applications. Participants should acquire a global vision of the application areas of Artificial Intelligence, especially in their areas of interest. Identify the types of problems that Artificial Intelligence and Big Data address, and learn about some generic methods to solve them. After taking this course, attendees are expected to be able to assess the possibility of applications in their business environment.

• Short programme AI (2023/03/21)

This short talk is an introduction to AI and NLP. We will briefly describe the history of AI and NLP, including the last and incredible advances that deep learning have brought to the field. In the talk we will briefly describe neural language models, discussing how they have revolutionized various NLP tasks such as machine translation, text generation or question answering. Additionally, we will touch upon new learning paradigms such as zero-shot and in-context-learning, which require very few training examples, if any, to adapt language models to new tasks.

• Deep Learning for Natural Language Processing (DL4NLP)

• Introduction to Language Technology Applications

February 2023, UPV/EHU Donostia-San Sebastian. Winter version, 5 weeks, 22.5 hours, labs with Flair, Spacy and Transformers

2022

• Eustat (2022/11/24-25)

More info here [es]

• Deep Learning for Natural Language Processing (DL4NLP)

July 2022, UPV/EHU San Sebastian. Summer version, 5 days, 20 hours, labs in Keras.

January 2022, UPV/EHU San Sebastian. Winter version, 3 weeks, 35 hours, labs in Tensorflow.

• Introduction to Language Technology Applications

July 2022, UPV/EHU Donostia-San Sebastian. Summer version, 5 days, 20 hours, labs with Scikit-learn, Flair, Spacy and Transformers

Winter 2022, UPV/EHU Donostia-San Sebastian. Winter version, 9 days, 22.5 hours, labs with Scikit-learn, Flair and Spacy

2021

• Deep Learning for Natural Language Processing (DL4NLP)

July 2021, UPV/EHU San Sebastian. Summer version, 5 days, 20 hours, labs in Keras.

January 2021, UPV/EHU San Sebastian. Winter version, 3 weeks, 35 hours, labs in Tensorflow.

• Introduction to Language Technology Applications

July 2021, UPV/EHU Donostia-San Sebastian. Summer version, 5 days, 20 hours, labs with Scikit-learn, Flair and Spacy

2020

• Deep Learning for Natural Language Processing (DL4NLP)

July 2020, UPV/EHU San Sebastian. Summer version, 3 days, 20 hours, labs in Keras.

January 2020, UPV/EHU San Sebastian. Winter version, 3 weeks, 35 hours, labs in Tensorflow.

2019

• Deep Learning for Natural Language Processing (DL4NLP)

July 2019, UPV/EHU San Sebastian. Summer version, 3 days, 20 hours, labs in Keras.

January 2019, UPV/EHU San Sebastian. Winter version, 3 weeks, 30 hours, labs in Tensorflow.

2018

• Deep Learning for Natural Language Processing (DL4NLP)

July 2018, UC3M Madrid. Summer version, 3 days, 20 hours, labs in Keras.

January 2018, UPV/EHU San Sebastian. Winter version, 3 weeks, 30 hours, labs in Tensorflow.