SWE-agent: Agent-Computer Interfaces Enable Software Engineering Language Models Institution: Princeton University Relevance: This paper explores how LLMs can navigate and edit code repositories autonomously. Devika employs similar logic in its "Agent-Computer Interface" (ACI) to read, write, and debug code without human intervention. 3. Papers on Agentic Planning (ReAct) Title: ReAct: Synergizing Reasoning and Acting in Language Models Authors: Shunyu Yao, et al. Relevance: Devika relies heavily on the "ReAct" paradigm (Reasoning + Acting). If you are looking for technical depth on how Devika thinks, reading this paper is crucial. It explains the loop of generating thoughts, actions, and observations. 4. Regional Language Context (Malayalam/NLP) If your interest in "Mallu" relates to the processing of Malayalam language prompts by such agents, the following area of study is relevant: Sketchup 2017 Vray 34 Upd: Operating Systems. 5.
Since "Mallu Devika" is not a standard academic term, I have interpreted your request as a request for useful papers and documentation regarding the framework, with a note on regional language processing (relevant to Malayalam) if applicable. Revista Mi Nippur De Lagash Pdf Descargar Gratis Instant