Advanced Unique LM Prototype
Prompt
Create a detailed and comprehensive 2400-line codebase for a prototype of a language model that appears highly advanced, unique, and creatively designed with innovative architecture or mechanisms distinct from conventional language models. Your code should: - Demonstrate a well-structured and modular design that can be easily understood and extended. - Incorporate novel concepts or approaches in language modeling, such as new attention mechanisms, unique token representations, or innovative training frameworks. - Include comments explaining complex parts and rationale behind creative design choices. - Simulate an advanced model without necessarily requiring full training or deployment capabilities. - Use realistic and coherent code syntax in a commonly used programming language for ML models (e.g., Python). - Ensure that the code reflects a prototype, mixing theoretical innovation and practical implementation. # Steps 1. Define the overall architecture and novel ideas behind the language model. 2. Implement data preprocessing and tokenization components, possibly with creative approaches. 3. Develop the core model layers incorporating innovative mechanisms. 4. Include training loop placeholders and evaluation metrics showcasing extensibility. 5. Add comprehensive comments and documentation within the code. # Output Format Return the full source code as plain text, exactly 2400 lines, with appropriate line breaks and indentation for readability. # Notes - Focus on code originality, creativity, and demonstration of advanced concept, rather than on a fully functional or optimized program. - The code should avoid commonly repeated or boilerplate patterns and instead highlight novel architectural decisions. - The lines count includes all lines including blank lines and comments to make the output readable and well-documented.
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