Mar 28 · 7 min read · Originally published at adiyogiarts.com Examine AI safety in 2026, comparing Constitutional AI and Reinforcement Learning from Human Feedback (RLHF). Discover critical tradeoffs for ethical, AI development and future alignment. HOW IT WORKS Definin...
Join discussionMar 9 · 12 min read · TLDR: 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 reward model, then optimize a policy (often with KL...
Join discussionMar 9 · 15 min read · TLDR: 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 pattern-matching engine into an assistant that is ...
Join discussionDec 2, 2025 · 5 min read · Large Language Models (LLMs) are transforming industries across healthcare, logistics, finance, eClinical research, manufacturing, enterprise technology, and AI-driven automation. However, building AI systems that produce reliable, accurate, and cont...
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Nov 4, 2025 · 4 min read · Introduction: Beyond the Limits of Supervised Learning Imagine a world where AI not only mimics human summaries but also exceeds them in quality. For years, Natural Language Processing (NLP) has relied on Supervised Fine-Tuning (SFT) to train languag...
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Sep 26, 2025 · 4 min read · Artificial Intelligence models have grown powerful, but making them aligned with human values is still a challenge. Large Language Models (LLMs) like GPT or Claude don’t just need raw performance—they need to respond in ways that feel natural, safe, ...
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Aug 13, 2025 · 2 min read · GRPO: Efficient RLHF via Relative Policy Optimization (Firstly introduced by DeepSeekMath, reference) Why GRPO? Problem with PPO: Slow, memory-intensive, and prone to reward overfitting in large-scale RLHF. GRPO’s Advantage: A compute-efficient ...
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Aug 13, 2025 · 2 min read · Pre-training uses massive datasets and computational resources—often thousands of GPUs running for weeks or months—making it a domain dominated by top AI companies. Post-training is much lighter in cost and time (often days instead of months) and foc...
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Jun 25, 2025 · 10 min read · Large Language Models have transformed how we interact with AI, but their true potential emerges when tailored to specific needs. This comprehensive guide walks you through the art and science of fine-tuning LLMs, from fundamental concepts to advance...
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