1 citations · 1 across the 3 of their papers we have counts for
4 papers
Can AI autonomously build, operate, and use the entire data stack?
Arvind Agarwal, Lisa Amini, Sameep Mehta +2
Enterprise data management is a monumental task. It spans data architecture and systems, integration, quality, governance, and continuous improvement. While AI assistants can help…
Classifier-Augmented Generation for Structured Workflow Prediction
Thomas Gschwind, Shramona Chakraborty, Nitin Gupta +1
ETL (Extract, Transform, Load) tools such as IBM DataStage allow users to visually assemble complex data workflows, but configuring stages and their properties remains time consumi…
Automated Creation and Enrichment Framework for Improved Invocation of Enterprise APIs as Tools
Prerna Agarwal, Himanshu Gupta, Soujanya Soni +3
Recent advancements in Large Language Models (LLMs) has lead to the development of agents capable of complex reasoning and interaction with external tools. In enterprise contexts,…
A Framework for Testing and Adapting REST APIs as LLM Tools
Jayachandu Bandlamudi, Ritwik Chaudhuri, Neelamadhav Gantayat +5
Large Language Models (LLMs) are increasingly used to build autonomous agents that perform complex tasks with external tools, often exposed through APIs in enterprise systems. Dire…