技能档案

LLM Scaling

此技能定义了各角色和级别的期望。

Machine Learning & AI LLM & Generative AI

角色数

包含此技能的角色

级别数

结构化成长路径

必要要求

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。

各级别期望

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 basic LLM scaling concepts: scaling laws, compute-optimal training, emergent abilities. Understands trade-offs between model size and computational resources for different tasks.

角色	必要性	描述
LLM Engineer		Independently plans scaling strategies: compute budget calculation using scaling laws, model size vs data size selection. Optimizes training and inference costs for 7B-13B parameter models.

角色	必要性	描述
LLM Engineer		Designs scaling strategy for large LLM: multi-stage scaling plans, Chinchilla-optimal training, progressive training. Optimizes balance between model quality, training cost, and inference latency.

角色	必要性	描述
LLM Engineer		Defines scaling standards for the LLM team. Establishes guidelines for compute budgeting, model size selection, cost-benefit analysis. Coordinates scaling decisions for multiple products.

角色	必要性	描述
LLM Engineer		Shapes enterprise LLM scaling strategy. Defines long-term compute strategy, cloud provider partnerships, and hardware planning. Ensures optimal scaling decisions at organizational level.

Junior 1 要求

LLM Engineer

Knows basic LLM scaling concepts: scaling laws, compute-optimal training, emergent abilities. Understands trade-offs between model size and computational resources for different tasks.

Middle 1 要求

LLM Engineer

Independently plans scaling strategies: compute budget calculation using scaling laws, model size vs data size selection. Optimizes training and inference costs for 7B-13B parameter models.

Senior 1 要求

LLM Engineer

Designs scaling strategy for large LLM: multi-stage scaling plans, Chinchilla-optimal training, progressive training. Optimizes balance between model quality, training cost, and inference latency.

Lead / Staff 1 要求

LLM Engineer

Defines scaling standards for the LLM team. Establishes guidelines for compute budgeting, model size selection, cost-benefit analysis. Coordinates scaling decisions for multiple products.

Principal 1 要求

LLM Engineer

Shapes enterprise LLM scaling strategy. Defines long-term compute strategy, cloud provider partnerships, and hardware planning. Ensures optimal scaling decisions at organizational level.

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