Prompt injection manipulates an LLM's instructions to ignore original constraints, while jailbreaking bypasses safety filters to produce restricted content. Reinforcement Learning from Human Feedback …
In mid-2021, while the tech world focused on the Metaverse and NFTs, a small group of developers and researchers in Silicon Valley had early access to GPT-3 and GitHub Copilot and realized the transfo…
Researchers are advancing AI alignment by using Reinforcement Learning from AI Feedback (RLAIF) with Proximal Policy Optimization (PPO) to train language models, replacing expensive human annotations …
OpenAI demonstrated that reinforcement learning focused on beneficial traits like honesty and reliability produces AI alignment that generalizes across domains and withstands adversarial attacks. The …
A developer compares four dominant alignment methods—RLHF, DPO, IPO, and KTO—for fine-tuning large language models, detailing their mathematical formulations, data requirements, and practical tradeoff…
Researchers Liu et al. published a paper on arXiv 2025 introducing ProRL, a method using prolonged reinforcement learning with KL resets to expand reasoning boundaries in AI models. An interactive vis…