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sachinpatilb committed Aug 30, 2024
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# Databricks notebook source
# MAGIC %md
# MAGIC <img src=https://raw.githubusercontent.com/databricks-industry-solutions/.github/main/profile/solacc_logo.png width="600px">
# MAGIC
# MAGIC [![DBR](https://img.shields.io/badge/DBR-CHANGE_ME-red?logo=databricks&style=for-the-badge)](https://docs.databricks.com/release-notes/runtime/CHANGE_ME.html)
# MAGIC [![CLOUD](https://img.shields.io/badge/CLOUD-CHANGE_ME-blue?logo=googlecloud&style=for-the-badge)](https://databricks.com/try-databricks)
# MAGIC
# MAGIC ## Business Problem
# MAGIC This solution accelerator demonstrates how to use Large Language Models (LLMs) to automate the email response process on Databricks.
# MAGIC
# MAGIC ## Authors
# MAGIC Sachin Patil <[email protected]><br>
# MAGIC Puneet Jain <[email protected]>
# MAGIC
# MAGIC ## Project support
# MAGIC
# MAGIC Please note the code in this project is provided for your exploration only, and are not formally supported by Databricks with Service Level Agreements (SLAs). They are provided AS-IS and we do not make any guarantees of any kind. Please do not submit a support ticket relating to any issues arising from the use of these projects. The source in this project is provided subject to the Databricks [License](./LICENSE.md). All included or referenced third party libraries are subject to the licenses set forth below.
# MAGIC
# MAGIC Any issues discovered through the use of this project should be filed as GitHub Issues on the Repo. They will be reviewed as time permits, but there are no formal SLAs for support.
# MAGIC
# MAGIC ## License
# MAGIC
# MAGIC &copy; 2024 Databricks, Inc. All rights reserved. The source in this notebook is provided subject to the Databricks License [https://databricks.com/db-license-source]. All included or referenced third party libraries are subject to the licenses set forth below.
# MAGIC
# MAGIC | library | description | license | source |
# MAGIC |----------------------------------------|-------------------------|------------|-----------------------------------------------------|
# MAGIC | Sample Email Dataset | This is a small dataset of less than 50 emails created manually | Sample |
# MAGIC
# MAGIC

# COMMAND ----------


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