In this episode, Vikramank Singh introduces the Panda framework, aimed at refining Large Language Models' (LLMs) capability to address database performance issues. Vikramank elaborates on Panda's four components—Grounding, Verification, Affordance, and Feedback—illustrating how they collaborate to contextualize LLM responses and deliver actionable recommendations. By bridging the divide between technical knowledge and practical troubleshooting needs, Panda has the potential to revolutionize database debugging practices, offering a promising avenue for more effective and efficient resolution of performance challenges in database systems. Tune in to learn more! Links:<ul><li><a href="https://www.cidrdb.org/cidr2024/papers/p6-singh.pdf" rel="noopener noreferrer" target="_blank">CIDR'24 Paper</a></li><li><a href="https://www.linkedin.com/in/vikramanksingh/" rel="noopener noreferrer" target="_blank">Vikramank's LinkedIn</a></li></ul><hr> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.

In this episode, Vikramank Singh introduces the Panda framework, aimed at refining Large Language Models' (LLMs) capability to address database performance issues. Vikramank elaborates on Panda's four components—Grounding, Verification, Affordance, and Feedback—illustrating how they collaborate to contextualize LLM responses and deliver actionable recommendations. By bridging the divide between technical knowledge and practical troubleshooting needs, Panda has the potential to revolutionize database debugging practices, offering a promising avenue for more effective and efficient resolution of performance challenges in database systems. Tune in to learn more! Links:CIDR'24 PaperVikramank's LinkedIn Hosted on Acast. See acast.com/privacy for more information.

In this episode, Vikramank Singh introduces the Panda framework, aimed at refining Large Language Models' (LLMs) capability to address database performance issues. Vikramank elaborates on Panda's four components—Grounding, Verification, Affordance, and Feedback—illustrating how they collaborate to contextualize LLM responses and deliver actionable recommendations. By bridging the divide between technical knowledge and practical troubleshooting needs, Panda has the potential to revolutionize database debugging practices, offering a promising avenue for more effective and efficient resolution of performance challenges in database systems. Tune in to learn more! Links:<ul><li><a href="https://www.cidrdb.org/cidr2024/papers/p6-singh.pdf" rel="noopener noreferrer">CIDR'24 Paper</a></li><li><a href="https://www.linkedin.com/in/vikramanksingh/" rel="noopener noreferrer">Vikramank's LinkedIn</a></li></ul> Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer">acast.com/privacy</a> for more information.

Vikramank Singh | Panda: Performance Debugging for Databases using LLM Agents | #47

This podcast features interviews with Computer Science researchers. Hosted by <a href="https://jackwaudby.github.io/" rel="noopener noreferrer" target="_blank">Dr. Jack Waudby</a> researchers are interviewed, highlighting the problem(s) they tackled, solutions they developed, and how their findings can be applied in practice. This podcast is for industry practitioners, researchers, and students, aims to further narrow the gap between research and practice, and to generally make awesome Computer Science research more accessible. We have 2 types of episode: (i) Cutting Edge (red/blue logo) where we talk to researchers about their latest work, and (ii) High Impact (gold/silver logo) where we talk to researchers about their influential work. You can support the show through&nbsp;<a href="https://www.buymeacoffee.com/disseminate" rel="noopener noreferrer" target="_blank">Buy Me a Coffee</a>.&nbsp;A donation of $3 will help us keep making you awesome Computer Science research podcasts.&nbsp;<hr> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.

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This podcast features interviews with Computer Science researchers. Hosted by Dr. Jack Waudby researchers are interviewed, highlighting the problem(s) they tackled, solutions they developed, and how their findings can be applied in practice. This podcast is for industry practitioners, researchers, and students, aims to further narrow the gap between research and practice, and to generally make awesome Computer Science research more accessible. We have 2 types of episode: (i) Cutting Edge (red/blue logo) where we talk to researchers about their latest work, and (ii) High Impact (gold/silver logo) where we talk to researchers about their influential work. You can support the show through Buy Me a Coffee. A donation of $3 will help us keep making you awesome Computer Science research podcasts.  Hosted on Acast. See acast.com/privacy for more information.

This podcast features interviews with Computer Science researchers. Hosted by <a href="https://jackwaudby.github.io/" rel="noopener noreferrer">Dr. Jack Waudby</a> researchers are interviewed, highlighting the problem(s) they tackled, solutions they developed, and how their findings can be applied in practice. This podcast is for industry practitioners, researchers, and students, aims to further narrow the gap between research and practice, and to generally make awesome Computer Science research more accessible. We have 2 types of episode: (i) Cutting Edge (red/blue logo) where we talk to researchers about their latest work, and (ii) High Impact (gold/silver logo) where we talk to researchers about their influential work. You can support the show through&nbsp;<a href="https://www.buymeacoffee.com/disseminate" rel="noopener noreferrer">Buy Me a Coffee</a>.&nbsp;A donation of $3 will help us keep making you awesome Computer Science research podcasts.&nbsp; Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer">acast.com/privacy</a> for more information.

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Vikramank Singh | Panda: Performance Debugging for Databases using LLM Agents | #47

Vikramank Singh | Panda: Performance Debugging for Databases using LLM Agents | #47

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