RLHF
Reinforcement Learning from Human Feedback (RLHF) is a training methodology used to align LLMs with human values and preferences. It uses human evaluations to train a reward model, which then guides the LLM to generate helpful, harmless, and honest outputs.
Frequently Asked Questions
Why was RLHF used for ChatGPT?▼
Raw pre-trained models generate text based on next-word probability, which often leads to offensive or unhelpful text. RLHF aligns the model to act as a conversational assistant.
What is a Reward Model in RLHF?▼
A secondary network trained on human preferences that scores model responses. This score is used as a reward signal in reinforcement learning.
Quick Facts
- CategoryModel Training
- Key ApplicationModel alignment, safety constraint training, and conversational tuning
Coverage Trend12 Weeks
Related AI Terms
RLHF Media Coverage & Intelligence
No Direct RLHF News Today
We currently have no direct coverage articles matching "RLHF" in the database archive. Explore trending global AI topics below instead.
Trending AI Stories
A startup claims it broke through a bottleneck that's holding back LLMs
Miami-based AI startup Subquadratic came out of stealth mode last month with a huge claim. It announced that it had solved a mathematical bottleneck that had be
[AINews] GLM GPT? GLM-5.2 passes vibe check; Z.ai forecasts Open Fable by December
With GLM-5.2 passing everyone's vibe check, the open models story finally becomes a real frontier story.
Meta Quest Promo Codes and Coupons for June 2026
Experience cutting-edge VR and save up to 20% with coupons for the latest games, Meta Quest 3, Ray-Ban AI glasses, and more deals.
Fabrix.ai demonstrates production-grade agentic operations at Cisco Live
Artificial intelligence dominated headlines and keynotes at every event I've attended this year, including the recent Cisco Live 2026. Though the thirst for AI has been insatiable for a couple of years, customer feedback at the event showed that the era of AI curiosity has given way to AI urgency. I