01:02:16

Aurora-M: Open Source Multilingual LM Red-teamed According to US EO - Diganta Misra | Munich NLP 026

44:27

Assessing Label Variation in Natural Language Inference: Cornelia Gruber | Munich NLP 025

56:19

Language Models for Protein Data - Evolutionary Scale Modeling: Amelie Schreiber | Munich NLP 024

38:16

What's next for LLMs and NLP? Egor Labintcev | Munich NLP x PyData

21:59

Open-Source LLM Inference - A Primer: Michael Feil | Munich NLP x PyData

01:07:13

All You Need to Know About Large Language Models: Muhtasham Oblokulov | Munich NLP x TUM.ai Workshop

43:38

Retrieval Augmented Generation: QA for Domain-Specific Data: Dr. Oliver Pfaffel | Munich NLP+PyData

35:05

Introducing LANFRICA: Collecting All African Language Resources: Chris Emezue | Munich NLP + PyData

01:22:17

DORA: Exploring Outlier Representations in Neural Networks: Kirill Bykov | Munich NLP Hands-on 023

01:18:36

Reality Check: NLP in the Era of Large Language Models: Dr. Vered Shwartz | Munich NLP Hands-on 022

45:36

Optimizing Instruction Tuning for Long Text Generation: Abdullatif Köksal | Munich NLP + PyData

32:49

Jina AI's Scalable Open-Source Solutions for Multimodal AI: Saahil Ognawala | Munich NLP + PyData

58:26

A Guide to Parameter-Efficient Fine-Tuning - Vlad Lialin | Munich NLP Hands-on 021

52:20

NLP in Social Sciences: Measuring Political Positions - Patrick Schwabl | Hands-on 020

51:25

AI in Law: The Misalignment of Legal Judgement Prediction with Experts - Shanshan Xu | Hands-on 019

52:34

CC-Top: Constraint Clustering for Dynamic Topic Discovery - Goschenhofer & Assenmacher | Hands-on 18

41:25

Relative Representations Enable Zero-Shot Latent Space Communication - Luca Moschella | Hands-on 017

01:03:16

ipyvizzu-story: Bringing Your Insights to Life - Peter Vidos | Munich NLP Hands-on 016

59:09

Fine-tuning Transformers: Lessons From a Kaggle Grandmaster - Christof Henkel | Munich NLP + PyData

01:35:10

Recycling Finetuned Models & Collaborative Pretraining - Leshem Choshen | Munich NLP Hands-on 015

01:07:37

Leveraging Modern Data Labeling Techniques - Kern AI | Munich NLP Hands-on 014

01:35:15

NLP from the Linguistic Perspective - Leonie Weissweiler | Munich NLP Hands-on 013

01:08:31

Question Answering with LangChain and Qdrant - Kacper Łukawski | Munich NLP Hands-on 012

01:04:57

Ten Proven Techniques to Improve Your NLP Model Training - Darek Kłeczek | Munich NLP Hands-on 011

48:20

Open-Source Educational Resources for NLP - Matthias Aßenmacher | Munich NLP Hands-on 010

01:35:43

NLP for Under-Represented Languages - Sebastian Ruder | Munich NLP Hands-on 009

01:45:10

Tricks and Tools From NLP-Land? - Vincent D. Warmerdam | Munich NLP Hands-on 008

01:03:19

NLP for Social Good - Daryna Dementieva | Munich NLP Hands-on 007

01:02:14

Simplifying the MLOps Stack - dstack | Munich NLP Hands-on 006

01:13:27

Transformers in All Glory Details - Lucas Beyer | Munich NLP Hands-on 005

55:22

Next Generation of Semantic Search - Nils Reimers | Munich NLP Hands-on 004

01:06:48

Composing Music With Language Models - Dr. Tristan Behrens | Munich NLP Hands-on 003

01:15:08

Hugging Face: Accelerating Transformers in Production - Lewis Tunstall | Munich NLP Hands-on 002

58:52

Gradio and the Hugging Face Hub - Abubakar Abid | Munich NLP Hands-on 001