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<strong>Meeting summary for DesignSafe Release/Management Meeting (04/24/2025)</strong>
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<strong>Quick recap</strong>
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The meeting covered discussions on the Samba Nova framework, a proof of concept for a front-end system, and the development of a prototype for a project involving multiple users and API endpoints. The team also explored the potential use of OpenAI and Llama models, considering factors such as cost and performance. Additionally, they planned a training program for 16 participants, discussing logistics, allocations, and the structure of the event.
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<strong>Next steps</strong>
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• Krishna to talk to Niall about getting access to Samba Nova for testing.
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• Tim to set up individual allocations for all participants on various systems (including Vista) before the SPARK event.
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• Tim and Robert to determine the best way to handle dinner payment and registration fees for the SPARK event.
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• Ellen to prepare introductory remarks for the SPARK event, including defining successful outcomes.
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• Tim and Natalie to work with TACC admins on logistics for the SPARK event (rooms, meals, materials).
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• Krishna to prepare potential ad-hoc training sessions for specific groups during the SPARK event.
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• Natalie to confirm location booking for the SPARK event.
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• Tim to follow up with Robert about using participant support funds for direct payments.
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• Tim and Ellen to finalize the duration and schedule for the SPARK event.
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• Krishna to continue developing the AI chat interface prototype for internal testing.
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<strong>Summary</strong>
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<strong>Samba Nova's Multiple Client Limitation</strong>
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Krishna discussed the ongoing discussions with Juliana and Seekhan about Samba Nova, a framework that allows running different models. The main issue raised was Samba Nova's inability to support multiple clients, which is a significant roadblock for their team. Krishna also mentioned that the data team is leaning towards using Samba Nova, but they are still figuring out the details. Tracy suggested that the service account could be used to provide a service that grabs information for each individual user, and that they might end up using both the interface and pulling in results to a web interface.
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<strong>Front-End System Proof of Concept</strong>
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Krishna presented a proof of concept for a front-end system built using Python, Lama Index, and Chroma database. The system provides an API interface and can process Markdown and Docx files. Krishna also demonstrated a chat interface that shows all processed documents and can link to the source Markdown file. However, the system currently does not process images. The team discussed the system's independence from the Seminovo solution and its potential to be integrated with Designsafe. They also discussed the need for a front-end interface that can communicate with the back-end API.
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<strong>Endpoint Hosting and API Connectivity</strong>
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Dan discussed the possibility of hosting multiple users on the endpoints and the need to ensure enough bandwidth and residency. He also mentioned the ability to connect to the API endpoint via any client and the potential to repoint the backend at OpenAI. Krishna asked about the hosting of the model, to which Dan clarified that it was just an OpenAI model. Ellen expressed a desire to understand the context better, and Dan explained the process of connecting to the API endpoint and the potential for customization. The team also discussed the possibility of using the OpenAI interface and the need to partition the space for all the RDUs.
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<strong>Prototype Development and Database Creation</strong>
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Ellen, Krishna, and Dan discussed the development of a prototype for their project. Krishna proposed a proof of concept to test the system's response and set up the rags. They also discussed the potential of integrating a chat interface and the need for maintaining chat history. Krishna mentioned that the prototype would be compatible with a Samba Nova solution. The team also discussed the development of a database for the data depot, with Tracy confirming that they are creating a database of all the published content.
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<strong>OpenAI and Llama Model Trial</strong>
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Krishna and Ellen discussed the potential use of OpenAI and Llama models for their project, considering factors such as cost and performance. They agreed to trial both options and build a chat interface, with the aim of eventually deploying a prototype. The team also discussed the need to convert natural language queries to a cipher query and handle the results from the chosen model.
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<strong>System Access and Spark Week Planning</strong>
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Ellen, Krishna, and Tracy discussed the need for access to a system, with Krishna agreeing to request access and test it. They also discussed the selection of nine people for a project, with Sim Center picking a professor and their students. Tim and Ellen discussed the upcoming Spark week event, which will involve deeper dives with research groups and hands-on work. Tim emphasized the need for resources during the event and asked for help in preparing and working with the admins. Natalie was tasked with confirming the location for the event.
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<strong>Training Program Logistics and Scheduling</strong>
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In the meeting, Tim, Ellen, and Krishna discussed the logistics of a training program for 16 participants. They decided on a 2.5-day duration, with the first day dedicated to introductions and the second day for tutorials. The third day would be for hands-on work. They also discussed the need for individual allocations for each participant. Tim agreed to ensure this. The group also discussed the need for a dinner on the first day, which Ellen would cover. They also discussed the possibility of having participants present their research in a simplified manner. The group also discussed the need for a presentation at the end of the conference. They also discussed the possibility of having smaller training rooms for specific topics. Tim and Robert would handle the payment and registration process.
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