alejandrods/Cover-Letter-Generator-gpt2

Uses a fine-tuned GPT-2 model to generate contextually coherent cover letter text from partial prompts, leveraging causal language modeling and attention caching for efficient token prediction. Built with Flask and containerized via Docker for seamless deployment to Google Cloud Run, with configurable parameters for output length and routing. The application accepts text prompts as input and extends them with auto-generated content, demonstrated through examples across different job domains.

No commits in the last 6 months.