Understanding Model Calibration: A Gentle Introduction & Visual Exploration Maja PavlovicFeb 11, 2025 “Calibration makes sure that a model’s estimated probabilities match real-world outcomes… if a weather forecasting model predicts
What I Read: Reasoning LLMs
https://magazine.sebastianraschka.com/p/understanding-reasoning-llms Understanding Reasoning LLMsSebastian Raschka, PhDFeb 05, 2025 “This article describes the four main approaches to building reasoning models, or how we can enhance LLMs with reasoning capabilities.”
What I Read: Classifying pdfs
https://snats.xyz/pages/articles/classifying_a_bunch_of_pdfs.html Classifying all of the pdfs on the internetSantiago Pedroza2024-08-18 “How would you classify all the pdfs in the internet? Well, that is what I tried doing this time.”
What I Read: Confidence intervals, balanced accuracy
https://code.groundlight.ai/python-sdk/blog/confidence-intervals-for-balanced-accuracy Tales from the Binomial Tail: Confidence intervals for balanced accuracyTed SandlerSenior Applied Scientist at GroundlightLeo DiracCTO and Co-founder at GroundlightJanuary 16, 2024 “…we put careful thought into measuring the