On-Policy Self-Distillation: A New Approach to Continual Learning
On-policy self-distillation (OPSD) offers a promising solution to catastrophic forgetting in post-training. This article explores the SDFT framework and its imp
On-policy self-distillation (OPSD) offers a promising solution to catastrophic forgetting in post-training. This article explores the SDFT framework and its imp
Character.AI's legal troubles illustrate how engineering decisions create real-world liability. Here's what AI practitioners need to understand.
Conformal prediction adds uncertainty intervals to ML predictions. Learn how to apply it step-by-step using Python and the UCI Online Shoppers dataset.
Reducing EEG channels from 19 to 8 costs less than 2% in cross-participant accuracy. Stable channel rankings don't guarantee better generalization.
World models are a fast-growing AI research area. These five resources take you from RL fundamentals to modern architectures like Dreamer and Genie.
Language models aren't random. This analysis uses logits to measure exactly how guessable an AI's "random" number pick really is.
Feature Election lets federated learning sites vote on which features to keep using local selectors, without sharing any raw data rows.
Scikit-LLM bridges LLMs and scikit-learn for few-shot text classification. Classify new text accurately with just a handful of labeled examples.
A hands-on comparison of ChatGPT, Claude, and Gemini across data science tasks including EDA, code generation, and statistical reasoning.
Learn how to build a LangGraph refund agent that pauses for human approval before executing financial actions using interrupt() checkpoints.
EmbeddingGemma 2 unifies text, code, images, video, and audio in one shared embedding space. This guide covers its architecture, benchmarks, and practical usage