PC games provide expansive worlds to explore and complex mechanics to challenge even the most devoted gamers. Many of us invest hours searching the internet for help to learn and excel in our favourite titles. The wealth of knowledge available is vast, encompassing millions of guides and countless words. At Computex 2024, Nvidia introduced Project G-Assist, an AI assistant for PC apps and games.
Let’s take a look at the details of the new G-Assist AI assistant.
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Nvidia’s Project G-Assist is an RTX-powered AI assistant technology demo that provides context-aware help for PC games and apps. This AI assistant aims to put game and system knowledge at players’ fingertips.
You just have to ask a question about your game or system performance, and the AI assistant provides context-aware answers.
Moreover, with a simple prompt, Project G-Assist can evaluate your system’s configuration and performance and instantly tune it for an optimal experience.
This AI Assistant can track and graph frame rates, power usage, PC latency, and other hardware statistics, suggesting ways to improve them when prompted.
Project G-Assist can also describe various settings and their expected impact on performance. For example, it can explain the difference between DLAA and DLSS, as well as the distinctions between Ultra Low Latency Mode in the Nvidia Control Panel and Nvidia Reflex in-game.
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Project G-Assist accepts voice or text inputs from the player and gathers contextual information from the game screen. This data is processed through AI vision models, which improve the contextual awareness and app-specific understanding of a large language model (LLM) connected to a game knowledge database. The system then generates a customised response, delivered as text or speech.
G-Assist’s vision and language models can be customised by developers for a specific game or app, providing a high degree of accuracy and insightfulness.
