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.

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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
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article

ChainBuddy: An AI-assisted Agent System for Helping Users Set up LLM Pipelines

Jingyue Zhang, Ian Arawjo
3 citations
Scheduling and Optimization Algorithms
1.05
article

ChainBuddy: An AI-assisted Agent System for Helping Users Set up LLM Pipelines

Jingyue Zhang, Ian Arawjo
article en
3 citations

Abstract

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.

Mila - Quebec Artificial Intelligence Institute (CA), Université de Montréal (CA)
Openalex Percentile: Top 20%
Scheduling and Optimization Algorithms
1.05
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