Claude
1456995462
Implemented a full-stack web application for fine-tuning LLMs on email data, optimized for Apple Silicon (M4 Pro with 24GB RAM). Features: - Mail import with drag & drop support (.mbox, .eml, .txt) - Automated mail cleaning and preprocessing - Interactive labeling interface with keyboard shortcuts - Training data export to JSONL format - MLX-based LoRA fine-tuning with live updates - Model evaluation and comparison interface - Server-Sent Events for real-time training progress - Dark theme UI optimized for extended use Technical Stack: - Backend: FastAPI with SQLite database - Frontend: Vanilla HTML/CSS/JavaScript (no external dependencies) - ML Framework: MLX for Apple Silicon optimization - Models: Support for Mistral 7B and Llama 3 8B via MLX Components: - data_manager.py: SQLite operations for mail storage and labeling - mail_parser.py: Parser for multiple mail formats with cleaning - training.py: MLX training wrapper with LoRA support - inference.py: Model loading and inference for evaluation - main.py: FastAPI backend with REST API and SSE - Frontend: Complete UI with all features Documentation: - Comprehensive README with installation and usage guide - Quick-start guide for rapid setup - Example mails for testing - Troubleshooting and best practices Ready for local deployment and fine-tuning workflows.
25 lines
605 B
Plaintext
25 lines
605 B
Plaintext
Subject: Automatische Antwort: Out of Office
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From: thomas.weber@company.com
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To: request@company.com
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Date: 2024-03-18
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Guten Tag,
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vielen Dank für Ihre E-Mail.
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Ich bin vom 18.03. bis 25.03.2024 nicht im Büro und habe keinen Zugriff auf meine E-Mails.
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In dringenden Fällen wenden Sie sich bitte an:
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- Vertrieb: sarah.koch@company.com
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- Support: support@company.com
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- Allgemeine Anfragen: info@company.com
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Ich werde Ihre E-Mail nach meiner Rückkehr bearbeiten.
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Mit freundlichen Grüßen
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Thomas Weber
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--
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Diese E-Mail wurde automatisch generiert.
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Bitte antworten Sie nicht direkt auf diese Nachricht.
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