ChainBuddy: An AI-assisted Agent System for Helping Users Set up LLM Pipelines
As large language models (LLMs) continue to advance, their potential applications have grown significantly. However, one persistent challenge remains: evaluating LLM behavior and crafting effective prompt chains. Many users struggle with where to start, often referred to as the "blank page problem." ChainBuddy, a new evaluation assistant built into the ChainForge platform, aims to tackle this issue. It offers a straightforward and user-friendly way to plan and evaluate LLM behavior, making the process less daunting and more accessible.
Authors
- Jingyue Zhang (ORCID: https://orcid.org/0009-0002-1893-7793)
- Ian Arawjo (ORCID: https://orcid.org/0000-0001-8910-0822)
Institutions
- Mila - Quebec Artificial Intelligence Institute (CA)
- Université de Montréal (CA)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1145/3672539.3686763
- Citations
- 3
- Primary Topic
- Scheduling and Optimization Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 1.05