领域
Machine Learning & AI
技能档案
此技能定义了各角色和级别的期望。
角色数
1
包含此技能的角色
级别数
5
结构化成长路径
必要要求
0
其余 5 个可选
Machine Learning & AI
LLM & Generative AI
2026/2/22
选择当前级别并对比期望。下方卡片显示晋升所需掌握的内容。
表格展示从初级到首席的技能深度变化。点击行查看详情。
| 角色 | 必要性 | 描述 |
|---|---|---|
| LLM Engineer | Knows alignment basics: what is helpful, harmless, honest (HHH). Understands why alignment is needed for LLM and how it affects model behavior. Studies basic approaches under mentor guidance. |
| 角色 | 必要性 | 描述 |
|---|---|---|
| LLM Engineer | Independently implements alignment pipelines: preference dataset preparation, Constitutional AI prompts, DPO training. Evaluates alignment quality through human evaluation and automated benchmarks. |
| 角色 | 必要性 | 描述 |
|---|---|---|
| LLM Engineer | Designs comprehensive alignment strategies: multi-objective alignment, iterative RLHF, debate-based alignment. Develops custom evaluation frameworks for measuring alignment quality at scale. |
| 角色 | 必要性 | 描述 |
|---|---|---|
| LLM Engineer | Defines alignment standards for the LLM team. Establishes guidelines for alignment methodology, quality metrics, red-teaming processes. Coordinates alignment R&D and production integration. |
| 角色 | 必要性 | 描述 |
|---|---|---|
| LLM Engineer | Shapes enterprise alignment strategy for the organization. Defines alignment governance, research directions, and compliance with emerging regulations. Mentors leads on advanced alignment techniques. |