Build and Deploy with NVIDIA AI
Train Your Teams in Generative AI and Large Language Models
Generative AI and large language models (LLMs) are redefining what’s possible in technology and business, creating new opportunities and demanding new skills. From developers building and optimizing AI solutions to administrators configuring and supporting advanced AI infrastructure, expertise in these areas is essential to stay ahead.
Fast Lane delivers NVIDIA authorized training designed to elevate your skills in generative AI and LLMs. Whether you’re developing cutting edge AI applications or managing the infrastructure that powers them, our training equips you to drive innovation and unlock the full potential of NVIDIA AI technologies.
NVIDIA on How Generative AI Works
Generative AI models learn by recognizing patterns and structures within massive datasets of text, code, images, audio, video, and other data. These models use neural networks, often transformer networks, to process the information. Developers can then leverage the models to generate new content, enhance existing content, or create entirely new AI-powered applications.
Retrieval-augmented generation (RAG) takes this further by integrating external knowledge sources, enabling AI to retrieve and synthesize up-to-date and contextually relevant information. This approach improves accuracy and can be used for tasks like creating realistic images from text descriptions, generating musical compositions, or building intelligent AI chatbots that can engage in human-like conversations.
Source: NVIDIA Developer
NVIDIA on How AI Agents Are Raising Team Performance
Want to learn more about how AI agents can boost team performance? This NVIDIA blog highlights 6 ways AI agents are improving productivity and decision-making across industries like software development, IT operations, manufacturing, customer service, and education.
NVIDIA AI Trainings
- Building Agentic AI Applications with Large Language Models (BAALLM)
- Building AI Agents with Multimodal Models (BAAMM)
- Getting Started with AI on Jetson Nano (GSJN)
- Building LLM Applications with Prompt Engineering (BLAPE)
- Generative AI with Diffusion Models (GAIDM)
- Building RAG Agents with LLMs (BRAL)
- Efficient Large Language Model (LLM) Customization (ELLMC)
- Rapid Application Development Using Large Language Models (RADLLM)
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