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Data platforms and analytics

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services

GenAI for Industry - AI-generated image compilation of industrial blueprints from renewable energy to transporation and manufacturing

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

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Published Date

Publication

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

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

Project Project

Publication

Welding Natural Language Queries to Analytics IRs with LLMs

Kaushik Rajan, Aseem Rastogi, Akash Lal, Sampath Rajendra, Krithika Subramanian, Krut Patel

(To appear in) International Conference on Innovative Data Systems | January 2024

Project Project

Microsoft Research Blog

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

January 11, 2024 | Shilin He, Liqun Li, Xu Zhang, Bo Qiao, Chaoyun Zhang, Yu Kang, Rujia Wang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

AI-backed virtual assistants face challenges in handling complex data structures. TaskWeaver helps users build assistants that understand diverse domain questions, follow examples, and efficiently execute customizable algorithms on complex data structures.

Publication

Data Debugging with Shapley Importance over Machine Learning Pipelines

Bojan Karlas, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang

International Conference on Learning Representations (ICLR 2024) | January 2024

Publication

Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection

Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin 林庆维, Yingnong Dang, S. Rajmohan, Dongmei Zhang

ICLR’23 | December 2023

Microsoft Research Blog

Research Focus: Week of December 18, 2023

December 20, 2023

In this issue of Research Focus: Optimized exit-augmented models for scalable efficient inference; NeurIPS LLM Efficiency Challenge; LLM-empowered automated data exploration; Boosting cloud efficiency with data-driven decision-making and optimization.