Model Type | |
Use Cases |
Areas: | text generation, email generation |
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Applications: | newsletter email automation, office correspondence, event invitations |
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Primary Use Cases: | Predictable email drafting |
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Limitations: | Not intended to write emails without human oversight |
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Considerations: | Check emails for factual correctness before sending. |
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Additional Notes | Fine-tuned for efficient email generation with significant reduction in drafting time. |
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Supported Languages | |
Training Details |
Data Sources: | aeslc, postbot/multi-emails-100k |
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Data Volume: | |
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Hardware Used: | |
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Input Output |
Input Format: | |
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Release Notes |
Version: | |
Notes: | Initial fine-tuning on email data. |
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