Unverified95% confidenceFactTime unknown
大模型核心原理包括Transformer架构、预训练、SFT监督微调、RLHF人类反馈强化学习等关键概念
1
Sources
95%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
2026年AI学习路线图：3条落地路径+四步行动清单（附完整技术体系）
bilibiliAi大模型精讲课堂
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VerifiedInstruction fine-tuning was systematically proposed by InstructGPT (2022), combining reinforcement learning from human feedback (RLHF) to make models better aligned with human intent.78% similarUnverifiedDomain fine-tuning typically first injects domain knowledge through supervised fine-tuning (SFT), then aligns with user preferences through reinforcement learning from human feedback (RLHF).73% similarUnverifiedA large language model (LLM) is a deep neural network model based on the Transformer architecture and pre-trained on massive amounts of data.73% similarUnverifiedModern LLMs have acquired capabilities for planning, reasoning, and tool use through instruction tuning and reinforcement learning from human feedback (RLHF).73% similarUnverified学习Transformer应遵循'先建立问题意识，再引入解决方案'的四阶段路径：序列建模动机、RNN/LSTM及其局限、注意力机制、Transformer完整架构73% similar
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