Ayoub EL KHAIARI·1d agoDoes a Smaller Model Still Look at the Same Things?I distilled a vision transformer into two small models and compared what they look at. Four questions, one honest result.
InGoogle Cloud - CommunitybyPallav Anand·1d agoGCP ML Project: Explaining Loan Default Risk Predictions with Vertex AI, BigQuery and XGBoost 🔍Learn how to run model explainability in Vertex AI !
Alexandria Davis·2d agoMy AI Agent Returned Null. It Was the Most Honest Thing It Did All Week.What a broken data pipeline taught me about explainability, the third layer of the PAL Framework, and why an explanation is only as true as…
Covasant Technologies·2d agoExplainable AI for Agents: Replaying The Action PathFeature importance tells you why a score came out the way it did. It tells you nothing about why an agent called a tool.
Sanika Tare·4d agoAll about RAG : Retrieval-Augmented GenerationAsk a large language model about your company’s refund policy, last week’s news, or a paper published yesterday, and it will often give you…
Omar Essam El Sherbiny·6d agoAn image classifier you can trust 80% of the time: confidence gating and Grad-CAMThis was my final project for IBM’s Deep Learning and Reinforcement Learning course. Fashion-MNIST is a familiar benchmark, so I framed it…
Aparna Paliya·Oct 28Can We Really Trust an AI Model We Don't Understand?When AI gives us an answer, shouldn't we also know what influenced it?A response icon1A response icon1
Lucas Calje·Oct 27Making AI Answers Traceable and TestableImagine an AI assistant that lets you ask questions about your company’s documents. So you ask: “What is the approved budget for Project…
Shayan Bemanian·Oct 27Reading LLMs Minds — Natural Language Autoencoders ExplainedHow can you train a neural network to translate activations into English when nobody knows what the activations mean in the first place?
