Transformer Core

v1.0.0

基于 Attention Is All You Need 论文,理解 AI 自身的底层架构

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Purpose & Capability
The name/description state the goal is to explain the Transformer (Vaswani et al.) and the SKILL.md contains architecture explanations and example implementations consistent with that purpose. There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
The instructions are documentation and example code (Python/TypeScript) for attention, multi-head attention, positional encoding, visualization, etc., which stays within the stated scope. Note: the code samples assume libraries (torch, numpy, matplotlib, seaborn) and helper functions (e.g., tokenize()) that are not declared; the skill does not itself contain runnable scripts or explicit runtime commands. The file also includes personal contact info (WeChat number) which is out-of-band and not required for the skill's function.
Install Mechanism
No install spec and no code files — the skill is instruction-only. That means nothing will be written to disk or installed by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths. The example code would need ML libraries if executed, but no sensitive credentials are requested and nothing appears disproportionate to the stated teaching purpose.
Persistence & Privilege
always is false and the skill does not request persistent privileges or modify other skills/configuration. Autonomous invocation is allowed by default but there are no instructions that would abuse it; this is consistent with a documentation-style skill.
Assessment
This skill is essentially documentation with code examples — it does not request credentials or install anything. If you plan to run the example code, review it first and install required libraries (torch, numpy, matplotlib, seaborn) from official sources; run code in an isolated environment (virtualenv/conda or container). Be aware the SKILL.md includes a personal contact (WeChat number); do not share secrets or private data with that contact unless you trust them. If you need the skill to actually execute code or visualize attention in your environment, prefer adding explicit dependency declarations and inspect/validate any code before running.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

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