Unverified50% confidenceFactExact time
Codex基于GPT-3的1750亿参数框架，通过监督微调和基于人类反馈的强化学习（RLHF）训练而成
1
Sources
50%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
UnverifiedModern Codex has been deeply integrated into the GPT-5 series architecture, and is no longer a standalone lightweight model but rather a specialized capability layer trained through reinforcement learning (RLHF) and code execution feedback80% similarVerifiedGPT series models are based on the Transformer architecture and are alignment-optimized through large-scale text pretraining and Reinforcement Learning from Human Feedback (RLHF).79% similarPartially VerifiedRLHF is the core training paradigm for aligning mainstream large language models (such as GPT-4 and Claude) with human preferences, by collecting human preference annotations to train a reward model and then fine-tuning the generative model.76% similarUnverifiedGPT-4o和Claude 3.5为代表的新一代模型通过RLHF和大规模工具调用训练，使主动发现问题在工程层面成为可能75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/584860API
curl https://kongchang.com/api/v1/knowledge/claims/584860MCP
get_claim(id=584860)