Low-code LLM: Visual Programming over LLMs
Informations
- Type:
- misc
- Auteurs:
- Yuzhe Cai and Shaoguang Mao and Wenshan Wu and Zehua Wang and Yaobo Liang and Tao Ge and Chenfei Wu...
- Pertinence:
-
Haute
- Référence:
- cai2023lowcode
- Doi:
- Mots-clés:
- Url:
- https://arxiv.org/abs/2304.08103
- Date de publication:
- 04/2023
- Résumé:
- écriture de prompts en plusieurs étapes par éditions de flow charts (cases, textes, fleches, ordre) pour permettre la planification de plusieurs etapes de production d'une output
- Abstract:
- Effectively utilizing LLMs for complex tasks is challenging, often involving a time-consuming and uncontrollable prompt engineering process. This paper introduces a novel human-LLM interaction framework, Low-code LLM. It incorporates six types of simple low-code visual programming interactions, all supported by clicking, dragging, or text editing, to achieve more controllable and stable responses. Through visual interaction with a graphical user interface, users can incorporate their ideas into the workflow without writing trivial prompts. The proposed Low-code LLM framework consists of a Planning LLM that designs a structured planning workflow for complex tasks, which can be correspondingly edited and confirmed by users through low-code visual programming operations, and an Executing LLM that generates responses following the user-confirmed workflow. We highlight three advantages of the low-code LLM: controllable generation results, user-friendly human-LLM interaction, and broadly applicable scenarios. We demonstrate its benefits using four typical applications. By introducing this approach, we aim to bridge the gap between humans and LLMs, enabling more effective and efficient utilization of LLMs for complex tasks. Our system will be soon publicly available at LowCodeLLM.
- Pdf:
- Lien pdf
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Auteurs
1 auteurs
| Nom | Nombre d'articles | Actions |
|---|---|---|
| Yuzhe Cai and Shaoguang Mao and Wenshan Wu and Zehua Wang and Yaobo Liang and Tao Ge and Chenfei Wu and Wang You and Ting Song and Yan Xia and Jonathan Tien and Nan Duan | 1 |