Daniel KlitzkeinITNEXTExplaining the AudioSpectrogramTransformer — XAI for Audio ClassificationThis tutorial walks you through applying XAI techniques to the AudioSpectrogramTransformer, enabling explanations for audio classification.Jun 111Jun 111
Daniel KlitzkeinITNEXTBoosting RAG Performance through Glossary Integration ― A LlamaIndex Hands-On TutorialThis tutorial shows how to incorporate specific terminology and domain knowledge into a RAG system. Full code provided on GitHub!Mar 201Mar 201
Daniel KlitzkeinITNEXTGuardrails vs. Microsoft Guidance: A Hands-On Tutorial for LLM Output ValidationIn this tutorial, you will learn how to validate your LLM outputs hands-on using two Python libraries, Microsoft Guidance and Guardrails.Mar 13Mar 13
Daniel KlitzkeWhy It’s Time to Analyze Your Acoustic Test Data with Machine Learning — Now!Why Automate Acoustic Test Data Analysis Using Machine Learning — Now?Feb 21Feb 21
Daniel KlitzkeFind Issues in Huggingface Datasets and Explore Them InteractivelyEfficiently acquire data and evaluate models for your use case.Nov 7, 20231Nov 7, 20231
Daniel KlitzkeHow to Automatically Find and Remove Issues in Your Image, Audio, and Text Classification DatasetsUse a combination of automatic detection and interactive review and exploration to quickly remove issues from your training data.Sep 18, 2023Sep 18, 2023
Daniel KlitzkeCleaning Image Classification Datasets With fastdup and Renumics SpotlightCombining quick, automatic detection of data issues with powerful visualization to get high-quality image classification datasets, fast.Sep 4, 2023Sep 4, 2023
Daniel KlitzkeAutomatically Selecting the Best Images Generated by Stable DiffusionA semi-automatic evaluation approach based on the CLIP Score and embedding-based clustering.Jul 20, 20231Jul 20, 20231
Daniel KlitzkeFast Audio Machine Learning Model Debugging using Embedding Space Clusteringtl;drJul 13, 2023Jul 13, 2023