技能档案

Transformer Architecture

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 Transformer basics: self-attention, multi-head attention, positional encoding, feed-forward layers. Understands encoder-decoder and decoder-only architectures and their application in LLM.

角色	必要性	描述
LLM Engineer		Independently analyzes and modifies Transformer architectures: RoPE, ALiBi, GQA, SwiGLU. Understands architectural differences between GPT, LLaMA, Mistral and their impact on performance.

角色	必要性	描述
LLM Engineer		Designs custom Transformer modifications: efficient attention (FlashAttention, sliding window), custom positional encoding, architectural search. Implements and evaluates novel architectural solutions.

角色	必要性	描述
LLM Engineer		Defines Transformer architecture standards for the LLM team. Establishes guidelines for architecture selection, new approach evaluation, R&D directions. Coordinates architectural experiments.

角色	必要性	描述
LLM Engineer		Shapes enterprise Transformer R&D strategy. Defines long-term architectural directions, evaluates emerging architectures (Mamba, RWKV), and plans transitions between architecture generations.

Junior 1 要求

LLM Engineer

Knows Transformer basics: self-attention, multi-head attention, positional encoding, feed-forward layers. Understands encoder-decoder and decoder-only architectures and their application in LLM.

Middle 1 要求

LLM Engineer

Independently analyzes and modifies Transformer architectures: RoPE, ALiBi, GQA, SwiGLU. Understands architectural differences between GPT, LLaMA, Mistral and their impact on performance.

Senior 1 要求

LLM Engineer

Designs custom Transformer modifications: efficient attention (FlashAttention, sliding window), custom positional encoding, architectural search. Implements and evaluates novel architectural solutions.

Lead / Staff 1 要求

LLM Engineer

Defines Transformer architecture standards for the LLM team. Establishes guidelines for architecture selection, new approach evaluation, R&D directions. Coordinates architectural experiments.

Principal 1 要求

LLM Engineer

Shapes enterprise Transformer R&D strategy. Defines long-term architectural directions, evaluates emerging architectures (Mamba, RWKV), and plans transitions between architecture generations.

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