alfraser commited on
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33a5067
1 Parent(s): a05b15e

Updated the home page message to reflect the available pages.

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  1. Home.py +5 -3
Home.py CHANGED
@@ -13,9 +13,11 @@ if st_setup("LLM Architecture Assessment", skip_login=True):
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  ## Tools
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  This web application serves as the management console to run different elements required to test the architectures. Specifically:
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- - **LLM architectures**: Around the LLM models are wrapped "architectures" which are the systems under test and being assessed. This area allows users to see those configurations and manually chat with the architecture, as opposed to directly with the model.
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- - **Data browser**: Underlying this architectural assessment is a synthetic "closed" data set, which has been generated offline to simulate a closed enterprise style dataset for testing purposes. This data browser element allows users to view that data directly.
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- - **Transaction logging**: As interactions are taking place with the architectures under test, the results are being logged for analysis. This area allows users to view those log records and see some simple results.
 
 
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  ## Credits
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  - This project predominantly uses [LLama 2](https://ai.meta.com/llama/) and derivative models for language inference. Models are made available under the [Meta Llama license](https://ai.meta.com/llama/license/).
 
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  ## Tools
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  This web application serves as the management console to run different elements required to test the architectures. Specifically:
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+ - **LLM Architectures**: Around the LLM models are wrapped "architectures" which are the systems under test and being assessed. This area allows users to see those configurations and manually chat with the architecture, as opposed to directly with the model.
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+ - **Data Browser**: Underlying this architectural assessment is a synthetic "closed" data set, which has been generated offline to simulate a closed enterprise style dataset for testing purposes. This data browser element allows users to view that data directly.
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+ - **Test Runner**: This tool allows you to select a number of questions and a set of architectures. The same questions will then be sent to each of the architectures and the results logged for analysis.
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+ - **Test Reporter**: As interactions are taking place with the architectures under test, the results are being logged for analysis. This area allows users to view those log records and see some simple results.
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+ - ** System Status**: This area lets the user undertake some basic system controls. It allows the test logs to be wiped clean, and also allows users to see the status of the LLM endpoints which the demo uses and pause/resume them as applicable.
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  ## Credits
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  - This project predominantly uses [LLama 2](https://ai.meta.com/llama/) and derivative models for language inference. Models are made available under the [Meta Llama license](https://ai.meta.com/llama/license/).