Tag: RLHF
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RLHF vs SFT: Why Supervised Fine-Tuning Wins 60% of Time
RLHF burned $50K before we admitted supervised fine-tuning worked better. Real cost, speed, and performance data from production LLM deployments.
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RLHF in 2026: Why Human Feedback Still Beats Pure AI Alignment
Explore RLHF in 2026 and discover why human feedback remains essential for AI alignmentโeven as models grow more capable. The surprising reasons inside.
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RLHF vs DPO: Training Cost Drops 68% in Real Migration
RLHF to DPO migration cut our 7B model training cost from $12.4K to $3.95K. Here's what broke, what worked, and the one dataset bug that tanked accuracy.
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DPO vs RLHF: 5 Interview Questions That Trip Up Developers
Compare DPO vs RLHF in these 5 tricky interview questions. Master the key differences in preference learning that catch most developers off guard.
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DPO Paper Review: RLHF Without RL โ 3x Faster Alignment
DPO eliminates RL from RLHF with a single classification objective. Learn how this method achieves 3x faster alignment with equal or better results.
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PPO: Why It Powers ChatGPT and Game AI
Deep dive into Proximal Policy Optimization โ the clipping trick, GAE, hyperparameters, and why PPO became the backbone of RLHF in modern LLMs.
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GRPO vs PPO for LLM Reasoning: DeepSeek-R1 Explained
How DeepSeek-R1 trains chain-of-thought reasoning with GRPO instead of PPO. Group Relative Policy Optimization removes the critic network, cuts memory by 40%, and produces emergent self-verification behaviors. Full algorithm breakdown with PyTorch code.
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RLHF Review: InstructGPT and Human Feedback Training
How InstructGPT's 1.3B model with RLHF beats 175B GPT-3. Full breakdown of SFT, reward modeling, and PPO training โ with the catches they skip.