News from the AI & ML world
DeeperML
@developer.nvidia.com
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NVIDIA is significantly advancing the capabilities of AI development with the introduction of new tools and technologies. The company's latest innovations focus on enhancing the performance of AI agents, improving integration with various software and hardware platforms, and streamlining the development process for enterprises. These advancements include NVIDIA NeMo microservices for creating data-driven AI agents and a G-Assist plugin builder that enables users to customize AI functionalities on GeForce RTX AI PCs.
NVIDIA's NeMo microservices are designed to empower enterprises to build AI agents that can access and leverage data to enhance productivity and decision-making. These microservices provide a modular platform for building and customizing generative AI models, offering features such as prompt tuning, supervised fine-tuning, and knowledge retrieval tools. NVIDIA envisions these microservices as essential building blocks for creating data flywheels, enabling AI agents to continuously learn and improve from enterprise data, business intelligence, and user feedback. The initial use cases include AI agents used by AT&T to process nearly 10,000 documents and a coding assistant used by Cisco Systems.
The introduction of the G-Assist plugin builder marks a significant step forward in AI-assisted PC control. This tool allows developers to create custom commands to manage both software and hardware functions on GeForce RTX AI PCs. By enabling integration with large language models (LLMs) and other software applications, the plugin builder expands G-Assist's functionality beyond its initial gaming-focused applications. Users can now tailor AI functionalities to suit their specific needs, automating tasks and controlling various PC functions through voice or text commands. The G-Assist tool runs a lightweight language model locally on RTX GPUs, enabling inference without relying on a cloud connection.
ImgSrc: developer-blogs
References :
NVIDIA's NeMo microservices are designed to empower enterprises to build AI agents that can access and leverage data to enhance productivity and decision-making. These microservices provide a modular platform for building and customizing generative AI models, offering features such as prompt tuning, supervised fine-tuning, and knowledge retrieval tools. NVIDIA envisions these microservices as essential building blocks for creating data flywheels, enabling AI agents to continuously learn and improve from enterprise data, business intelligence, and user feedback. The initial use cases include AI agents used by AT&T to process nearly 10,000 documents and a coding assistant used by Cisco Systems.
The introduction of the G-Assist plugin builder marks a significant step forward in AI-assisted PC control. This tool allows developers to create custom commands to manage both software and hardware functions on GeForce RTX AI PCs. By enabling integration with large language models (LLMs) and other software applications, the plugin builder expands G-Assist's functionality beyond its initial gaming-focused applications. Users can now tailor AI functionalities to suit their specific needs, automating tasks and controlling various PC functions through voice or text commands. The G-Assist tool runs a lightweight language model locally on RTX GPUs, enabling inference without relying on a cloud connection.
ImgSrc: developer-blogs
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References :
- developer.nvidia.com: Enhance Your AI Agent with Data Flywheels Using NVIDIA NeMo Microservices
- www.tomshardware.com: NVIDIA introduces G-Assist plug-in builder, allowing its AI to integrate with LLMs and software
- developer.nvidia.com: Benchmarking Agentic LLM and VLM Reasoning for Gaming with NVIDIA NIM
- techstrong.ai: NVIDIA Corp. on Wednesday announced general availability of neural module (NeMo) microservices, the software tools behind artificial intelligence (AI) agents for enterprises.
- the-decoder.com: With its G-Assist tool and a new plug-in builder, Nvidia introduces a system for AI-assisted PC control. Developers can create their own commands to manage both software and hardware functions.
Classification:
- HashTags: #AI #NVIDIA #MachineLearning
- Company: NVIDIA
- Target: Developers
- Product: NVIDIA NeMo
- Feature: AI Integration
- Malware: NeMo
- Type: AI
- Severity: Informative