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Runtime error
Runtime error
Fixed a couple of typos in the home page
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Home.py
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@@ -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
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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
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