Submissions for NVIDIA’s Plug and Play: Undertaking G-Help Plug-In Hackathon are due Sunday, July 20, at 11:59pm PT. RTX AI Storage affords all of the instruments and assets to assist.
The hackathon invitations the neighborhood to broaden the capabilities of Undertaking G-Help, an experimental AI assistant obtainable by way of the NVIDIA App that helps customers management and optimize NVIDIA GeForce RTX programs.
Entrants acquire the prospect to win a GeForce RTX 5090 laptop computer, or a restricted NVIDIA GeForce RTX 5080 or RTX 5070 Founders Version graphics card, plus NVIDIA Deep Studying Institute credit. Finalists may be featured on NVIDIA’s social media channels.
Register for the hackathon and take a look at the curated technical assets beneath to deliver these submissions to life.
(G-)Help With AI
When within the warmth of a gaming second or the circulation of a inventive challenge, interrupting one’s focus to navigate advanced PC settings menus is a standard frustration. For instance, manually tweaking GPU efficiency or optimizing system parameters typically requires leaving the consumer’s present software, which breaks focus.
Enter Undertaking G-Help, which permits customers to manage their RTX GPU and different system settings utilizing pure language. It’s powered by a small language mannequin that runs on gadget and could be accessed instantly from the NVIDIA overlay inside the NVIDIA App — no must tab out or swap applications.
Customers may also broaden its capabilities by way of plug-ins and even join it to agentic frameworks corresponding to Langflow. G-Help plug-ins could be in-built a number of methods, together with with Python for speedy growth, with C++ for performance-critical apps and with customized system interactions for {hardware} and working system automation.
Undertaking G-Help requires a GeForce RTX 50, 40 or 30 Sequence Desktop GPU with not less than 12GB of VRAM, a Home windows 11 or 10 working system, a suitable CPU (Intel Pentium G Sequence, Core i3, i5, i7 or greater; AMD FX, Ryzen 3, 5, 7, 9, Threadripper or greater), particular disk house necessities and a latest GeForce Recreation Prepared Driver or NVIDIA Studio Driver.
Cross the End Line
Because the hackathon’s submission deadline approaches this weekend, RTX AI Storage is offering assets that may assist:
Sydney Altobell, a senior software program engineer at NVIDIA, affords suggestions and methods for working with G-Help plug-ins in this on-demand webinar. The presentation and Q&A can be found on the NVIDIA Developer YouTube channel and embedded beneath.
Fellow neighborhood builders are collaborating and sharing notes within the NVIDIA Developer Discord server. Altobell and the G-Help engineering staff have already answered many questions on plug-in submissions — preserve the questions coming.
Plus, discover NVIDIA’s GitHub repository, which gives all the things wanted to get began creating with G-Help, together with step-by-step directions and documentation for constructing customized functionalities. Take inspiration from pattern plug-ins, which embrace code for utilizing G-Help to combine into Discord, IFTTT, Google Gemini and extra.
Study extra in regards to the ChatGPT Plug-In Builder to remodel concepts into useful G-Help plug-ins with minimal coding. The device makes use of OpenAI’s customized GPT builder to generate plug-in code and streamline the event course of.
NVIDIA’s technical weblog walks by way of the structure of a G-Help plug-in, utilizing a Twitch integration for instance. Uncover how plug-ins work, how they convey with G-Help and the way to construct them from scratch.
Discover submission particulars and necessities on the Hackathon entry web page.
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