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

AWS Games

With the rising popularity of generative artificial intelligence (AI), companies are exploring foundation models (FMs) and realizing the immediate benefit they provide to their business. It takes the MLOps methodology and adds the additional skills, processes, and technologies needed to operationalize generative AI models and applications.

AI 64
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Maximize Your Game Data Insights with the updated Game Analytics Pipeline

AWS Games

This modular system allows for additional AWS capabilities, such as AI/ML models, to be integrated into the pipeline to provide valuable insights and recommendations to enhance player experiences. The infrastructure is deployed for integration and system testing into the quality assurance (QA) AWS account using the CloudFormation Stack.

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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. Looking ahead, nDreams is excited to explore exciting new integrations, such as an AI-driven headless game client to create a more realistic, dynamic NPC behavior.

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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). Game programming career paths: Game programmers may specialize in areas of coding such as graphics, AI, sound, scripting, user interface, network, tools, porting, etc.

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