Tag: pre
-
Enforcing Calibration in Multi-Output Probabilistic Regression with Pre-rank Regularization
Enforcing Calibration in Multi-Output Probabilistic Regression with Pre-rank Regularization arXiv:2510.21273v1 Announce Type: new Abstract: Probabilistic models must be well calibrated to support reliable decision-making. While calibration in single-output regression is well studied, defining and achieving multivariate calibration in multi-output regression remains considerably more challenging. The existing literature on multivariate calibration primarily focuses on diagnostic tools…
-
The Coverage Principle: How Pre-training Enables Post-Training
The Coverage Principle: How Pre-training Enables Post-Training arXiv:2510.15020v1 Announce Type: new Abstract: Language models demonstrate remarkable abilities when pre-trained on large text corpora and fine-tuned for specific tasks, but how and why pre-training shapes the success of the final model remains poorly understood. Notably, although pre-training success is often quantified by cross entropy loss, cross-entropy…
-
How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker
How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker From VOC to JSON: Importing pre-annotations made simple The post How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker appeared first on Towards Data Science. Yagmur Gulec Go to original source
-
How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference
How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference With the recent explosion of interest in large language models (LLMs), they often seem almost magical. But let’s demystify them. I wanted to step back and unpack the fundamentals — breaking down how LLMs are built, trained, and fine-tuned to become the AI systems we interact…
-
Understanding the Evolution of ChatGPT: Part 1—An In-Depth Look at GPT-1 and What Inspired It
Understanding the Evolution of ChatGPT: Part 1—An In-Depth Look at GPT-1 and What Inspired It Tracing the roots of ChatGPT: GPT-1, the foundation of OpenAI’s LLMs (Image from Unsplash) The GPT (Generative Pre-Training) model family, first introduced by OpenAI in 2018, is another important application of the Transformer architecture. It has since evolved through versions like…