2025-02-10 Introduction to NLP and RAG
Learn basics of NLP
Reiter
About this training
Introduction to NLP and RAG
This course offers a comprehensive introduction to Natural Language Processing (NLP), a fast-growing field at the intersection of linguistics, computer science, and artificial intelligence. Students will learn fundamental applications of NLP such as text classification, information extractions and others. The course will be divided into a lecture part and hand on excercises. The first part will focus on general intro into NLP, while the second part will focus on Retrieval Augmented Generation (RAG). Students can bring their own data for the second part or a data will be provided for them. The data should be in txt or pdf formats
Course Objectives
Learn about:
This course offers a comprehensive introduction to Natural Language Processing (NLP), a fast-growing field at the intersection of linguistics, computer science, and artificial intelligence. Students will learn fundamental applications of NLP such as text classification, information extractions and others. The course will be divided into a lecture part and hand on excercises. The first part will focus on general intro into NLP, while the second part will focus on Retrieval Augmented Generation (RAG). Students can bring their own data for the second part or a data will be provided for them. The data should be in txt or pdf formats
Course Objectives
Learn about:
- The basic tasks and tools for NLP
- The different python modules used in NLP
- Word embeddings
- Retrieval Augmented Generation (RAG)
- Model Context Protocol (MCP)
Target group
- Students and Staff of UniBe.
Prerequisites
- Participants must bring own laptops
- Basic knowledge of Python programming language
- Idealy activate UNIBE HPC UBELIX account. Contact ID support for that.
Methods
The course will alternate between theoritical background and hands on excercises
Certificate
- A certificate will be delivered to participants who have attended the whole training.
Coaches
- Ahmad Alhineidi is a member of the Data Science Lab (DSL) UniBe.
Practical information (time, location ...)
Time : 2025-02-10 09:00-17:00
Location : Room 124, Mittelstrasse 43
Online Participation: Possible to attend on Zoom upon request (Please write the course instructor 24 hours before the course time if you plan to attend online)
Training language: English
Participants : Max 25
Registration : Mandatory
About DSL
The Data Science Lab is there to boost your research by supporting you solving computing challenges.
https://www.dsl.unibe.ch/