Скачать или смотреть AgentMerge: Enhancing Battlefield Issue Management with LLMs | AI and Games Conference 2024

Title: AgentMerge: Enhancing Battlefield Automated Issue Management with LLMs

Speakers: Alessandro Sestini / EA SEED & Luca Ballore / EA DICE

Description: The Battlefield QV department manages an automated issue workflow that handles reports coming from diverse data sources and entities, such as error APIs, automation systems, etc. An important part of this workflow is the interaction with the issue tracking manager Jira, where tickets are created automatically using data retrieved from the reports. The process is not fully automated, as there are still parts that require the hardcoding of rules that may change over time or a manual intervention that can become time consuming when the volume of tickets reaches high peaks.

The talk explores the potential of Large Language Models (LLMs) in automated issue management within the Battlefield franchise. It has the goal to address the identification of duplicate issues, replacing the inefficiency of the previous hardcoded rules. We will demonstrate how the same solution based on LLMs could also be reused in all the projects utilizing the same version of Frostbite (our engine). Furthermore, the talk discusses the challenges and best practices of integrating a research project into an established game development workflow, and how to overcome these challenges.

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