Intelligent Information Systems Lab

Description

Intelligent information systems are AI-based systems that aid users to fulfill their information needs in everyday life and professional contexts such as medicine, technology, or science. The challenge lies in developing the most helpful system for exploring and understanding information regarding a specific domain or application. In addition to conventional web search engines, intelligent information systems also include interactive systems such as dialog systems and chatbots, which implement a conversation-driven search. These systems combine traditional AI methods with machine learning, and language models in particular. In the lab project, intelligent information systems are implemented and evaluated using the above-mentioned technologies based on current research.

General Information

Lecturer Prof. Dr. Martin Potthast
Teaching Assistants Dr. Harry Scells, Tim Hagen
Workload 4 SWS
Lab Thursday, 10:00 s.t. - 14:00, Room -1201 consultations online
Contact via email or office hours

Resources

  • 01 - Developing a RAG system [view] [download]
  • 02 - Hands-On Introduction to Slurm on the Webis GPU Cluster [view]

Further Resources

Lab Sessions

Date Title Description Materials Deliverables
17.10.2024 Introduction (Session 1)
  • Introduction & Onboarding
25.10.2024 Literature Research (Session 2)
  • How to do literature research & first steps on the cluster
31.10.2024 Text Classification (Session 3)
  • Intro to text classification
  • Literature Research
07.11.2024 Representation Learning I (Session 4)
  • Intro to representation learning
  • Sentiment Classifier
14.11.2024 Representation Learning II (Session 5)
  • Representation learning with transformers
  • Sentiment Classifier using Word Embeddings
21.11.2024 Representation Learning III (Session 6)
  • Fine-tuning a BERT model
  • Sentiment Classifier using SBERT Embeddings
28.11.2024 RAG Quality I (Session 7)
  • RAG Quality (Pointwise)
  • Fine-tuned BERT model
05.12.2024 RAG Quality II (Session 8)
  • RAG Quality (Pairwise)
  • Pointwise RAG Quality Classifier
12.12.2024 RAG Relevance I (Session 9)
  • Intro to negative sampling
  • Pairwise RAG Quality Classifier
19.12.2024 RAG Relevance II (Session 10)
  • Intro to ranking functions
  • RAG Relevance Classifier
16.01.2025 RAG Entailment (Session 11)
  • Intro to entailment
  • RAG Relevance Ranker
23.01.2025 Q&A (Session 12)
  • Q&A for lab presentation and report
  • RAG Entailment Classifier
30.01.2025 Final Presentations
  • Oral presentations
  • Lab Presentation
13.02.2025 Final Report
  • Written report
  • Lab Report