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+ ---
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+ language: en
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+ license: mit
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+ tags:
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+ - text-generation
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+ - gpt2
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+ - technical-writing
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+ - documentation
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+ ---
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+
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+ # technical_documentation_generator
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+
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+ ## Overview
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+ This model is a fine-tuned version of GPT-2 specifically optimized for generating technical documentation, API references, and software README files. It has been trained on a large corpus of open-source documentation to maintain a professional, objective, and instructional tone.
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+
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+
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+
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+ ## Model Architecture
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+ The model uses a **Decoder-only Transformer** architecture.
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+ - **Layers**: 12 Transformer blocks.
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+ - **Embedding Dim**: 768.
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+ - **Attention**: Masked Multi-Head Self-Attention.
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+ - **Objective**: Causal Language Modeling (CLM), predicting the next token $x_i$ based on $x_{<i}$:
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+ $$P(x) = \prod_{i=1}^{n} P(x_i | x_1, \dots, x_{i-1})$$
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+
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+ ## Intended Use
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+ - **Documentation Drafting**: Generating initial templates for function descriptions and class structures.
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+ - **Developer Tools**: Integrating into IDEs to suggest comments and docstrings.
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+ - **Standardization**: Helping teams maintain a consistent voice across various technical repositories.
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+
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+ ## Limitations
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+ - **Hallucination**: The model may generate syntactically correct but factually incorrect code examples or parameter descriptions.
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+ - **Knowledge Cutoff**: It lacks knowledge of software libraries or frameworks released after its last training update in late 2025.
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+ - **Logical Flow**: While excellent at sentence-level structure, very long documents may lose coherent logical progression.