RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

no code implementations • 16 Jan 2024 • Angels Balaguer, Vinamra Benara, Renato Luiz de Freitas Cunha, Roberto de M. Estevão Filho, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo O. Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

Our pipeline consists of multiple stages, including extracting information from PDFs, generating questions and answers, using them for fine-tuning, and leveraging GPT-4 for evaluating the results.

NumS: Scalable Array Programming for the Cloud

1 code implementation • 28 Jun 2022 • Melih Elibol, Vinamra Benara, Samyu Yagati, Lianmin Zheng, Alvin Cheung, Michael I. Jordan, Ion Stoica

LSHS is a local search method which optimizes operator placement by minimizing maximum memory and network load on any given node within a distributed system.

regression Scheduling