Papers by Liubov Nedoshivina
A Perspective on LLM Data Generation with Few-shot Examples: from Intent to Kubernetes Manifest (2025.acl-industry)
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| Challenge: | Large Language Models (LLMs) have transformed how complex tasks can be automated . traditional cloud computing operations involve complex manual configurations . |
| Approach: | They propose a pipeline for generating K8s manifests directly from user-described intents expressed in natural language using LLMs. |
| Outcome: | The proposed pipeline can generate K8s manifests directly from user-described intents expressed in natural language using LLMs. |