Remove Code Remove NPC Remove Quality Assurance
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Maximize Your Game Data Insights with the updated Game Analytics Pipeline

AWS Games

These models can be used to identify fraudulent activity in near real-time, provide player specific in-game purchase promotions, automate LiveOps through AIOps, enable dynamic NPC dialogue through generative AI, and more. Visualize business intelligence (BI) data with Amazon QuickSight.

Data 69
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Operationalize generative AI applications on AWS: Part I – Overview of LLMOps solution

AWS Games

FMs are large machine learning models that are pre-trained on vast amounts of data, which can perform many tasks such as text, code, and generate images. We will dive into use cases, services, and code needed to implement LLMOps on AWS. This is part 1 of a 3-part blog series where we will cover LLMOps in detail for the games industry.

AI 53
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Launching Ghostbusters: Rise of the Ghost Lord – How nDreams scale tested with AWS Fargate

AWS Games

It shows a combination of manual Quality Assurance (QA) and the automated Load Testing Tool. A game server runs a version of the game code that does not render any game graphics, but contains core game logic and maps. Load testing tool This in-house-developed custom scaling test tool was essential to the scale testing.

Engine 64
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A comprehensive guide to in-demand roles in film and games

CG Spectrum

They are also responsible for implementing NPC (non-player character) movement, performances, and behaviors, which are controlled by AI (artificial intelligence). They turn the vision of game designers into a functional reality, writing the code that governs how a game behaves.

Film 52