Topic
Alignment
Learn Alignment as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts5 Articles1h 7m
Overview
Learn Alignment as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Ai
Llm
Machine Learning
Reinforcement Learning
Learning Path in this Topic
Series that contain articles from Alignment. Select a path to filter the article list.
Articles
5 matched articles
Article 1RLHF in Practice: From Human Preferences to Better LLM PoliciesTLDR: Reinforcement Learning from Human Feedback (RLHF) helps align language models with human preferences after pretraining and SFT. The typical pipeline is: collect preference comparisons, train a r12 minArticle 2RLHF Explained: How We Teach AI to Be NiceTLDR: A raw LLM is a super-smart parrot that read the entire internet — including its worst parts. RLHF (Reinforcement Learning from Human Feedback) is the training pipeline that transforms it from a 14 minArticle 3SFT for LLMs: A Practical Guide to Supervised Fine-TuningTLDR: Supervised fine-tuning (SFT) is the stage where a pretrained model learns task-specific response behavior from curated input-output examples. It is usually the first alignment step after pretrai12 min
Article 4Ethics in AI: Bias, Safety, and the Future of WorkTLDR: 🤖 AI inherits the biases of its creators and data, can act unsafely if misaligned with human values, and is already reshaping the labor market. Understanding these issues — and the tools to add14 min
Article 5Supervised Learning Algorithms: A Deep Dive into Regression and ClassificationTLDR: Supervised learning maps labeled inputs to outputs. In production, success depends less on algorithm choice and more on objective alignment, calibration, threshold tuning, and drift monitoring. 15 min