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Added New tag and html description to LLM AMP
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Charu Anchlia committed Jun 4, 2023
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18 changes: 15 additions & 3 deletions amp-catalog-cloudera-default.yaml
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short_description: |
Build a Retrieval Augmented Generation (RAG) Question-Answer Large
Language Model (LLM) Bot with local documents
long_description: |
long_description: >-
IMPORTANT: Please read the following before proceeding. By configuring and launching this AMP, you will cause h2oai/h2ogpt-oig-oasst1-512-6.9b, which is a third party large language model (LLM), to be downloaded and installed into your environment from the third party’s website. Please see https://huggingface.co/h2oai/h2ogpt-oig-oasst1-512-6.9b for more information about the LLM, including the applicable license terms. If you do not wish to download and install h2oai/h2ogpt-oig-oasst1-512-6.9b, click “cancel” below. By clicking “Configure Project” below, you acknowledge the foregoing statement and agree that Cloudera is not responsible or liable in any way for h2oai/h2ogpt-oig-oasst1-512-6.9b. Author: Cloudera Inc.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This AMP builds a Retrieval Augmented Generation (RAG)
Question-Answer Large Language Model (LLM) Bot application which
demonstrates how context from local documents can be used with pre-trained
LLM models to perform context retrieval and chat response
generation with factual responses.
generation with factual responses.
long_description_html: >-
IMPORTANT: Please read the following before proceeding. By configuring and launching this AMP, you will cause h2oai/h2ogpt-oig-oasst1-512-6.9b, which is a third party large language model (LLM), to be downloaded and installed into your environment from the third party’s website. Please see https://huggingface.co/h2oai/h2ogpt-oig-oasst1-512-6.9b for more information about the LLM, including the applicable license terms. If you do not wish to download and install h2oai/h2ogpt-oig-oasst1-512-6.9b, click “cancel” below. By clicking “Configure Project” below, you acknowledge the foregoing statement and agree that Cloudera is not responsible or liable in any way for h2oai/h2ogpt-oig-oasst1-512-6.9b. Author: Cloudera Inc.
<br/>
<b>LLM Model</b>
<div style="background-color:#ADD8E6">
This AMP builds a Retrieval Augmented Generation (RAG)
Question-Answer Large Language Model (LLM) Bot application which
demonstrates how context from local documents can be used with pre-trained
LLM models to perform context retrieval and chat response
generation with factual responses.
</div>
<br/>
is_new: true
image_path: >-
https://raw.githubusercontent.com/cloudera/CML_AMP_LLM_Chatbot_Augmented_with_Enterprise_Data/main/images/catalog-screenshot.png
tags:
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