alfraser commited on
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907f936
1 Parent(s): 43bd0c7

Fixed a couple of typos in the home page

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  1. Home.py +2 -2
Home.py CHANGED
@@ -12,9 +12,9 @@ if st_setup("LLM Architecture Assessment", skip_login=True):
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  # LLM Architecture Assessment
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  This application is an interactive element of the LLM Architecture Assessment project prepared by [Alisdair Fraser](https://www.linkedin.com/in/alisdairfraser/) (alisdairfraser (at) gmail (dot) com), in submission for the final research project for the [Online MSc in Artificial Intelligence](https://info.online.bath.ac.uk/msai/) with the University of Bath. This application allows users to browse a synthetic set of "private data" and to interact with systems built to represent different architectural prototypes.
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- The goal of the project is to make an assessment of the architectural patterns for deploying LLMs in conjunction with private data stores. The target audience is IT management, with a goal of providing key considerations for why one might choose a particular architecture or another.
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- All the source code for this application and the associated tooling and data can be found the [project GitHub repo on Hugging Face](https://huggingface.co/spaces/alfraser/llm-arch/tree/main).
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  """)
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  # Place the video centred, but surrounded as a workaround to being able to specify the size
 
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  # LLM Architecture Assessment
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  This application is an interactive element of the LLM Architecture Assessment project prepared by [Alisdair Fraser](https://www.linkedin.com/in/alisdairfraser/) (alisdairfraser (at) gmail (dot) com), in submission for the final research project for the [Online MSc in Artificial Intelligence](https://info.online.bath.ac.uk/msai/) with the University of Bath. This application allows users to browse a synthetic set of "private data" and to interact with systems built to represent different architectural prototypes.
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+ The goal of the project is to make an assessment of the architectural patterns for deploying LLMs in conjunction with private data stores. The target audience is technology leaders, with a goal of providing key considerations for why one might choose a particular architecture or another.
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+ All the source code for this application and the associated tooling and data can be found in the [project GitHub repo on Hugging Face](https://huggingface.co/spaces/alfraser/llm-arch/tree/main).
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  """)
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  # Place the video centred, but surrounded as a workaround to being able to specify the size