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Explaining Tokens — the Language and Currency of AI

NVIDIA AI Blog

Under the hood of every AI application are algorithms that churn through data in their own language, one based on a vocabulary of tokens. AI models process tokens to learn the relationships between them and unlock capabilities including prediction, generation and reasoning. This process is known as tokenization.

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What Is Retrieval-Augmented Generation?

NVIDIA AI Blog

To understand the latest advance in generative AI , imagine a courtroom. Judges hear and decide cases based on their general understanding of the law. The court clerk of AI is a process called retrieval-augmented generation, or RAG for short. So, What Is Retrieval-Augmented Generation? That builds trust.

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Google outlines new methods for training robots with video and large language models

TechCrunch

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ranging from learning to product design. Google’s DeepMind Robotics researchers are one of a number of teams exploring the space’s potential.

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New NVIDIA Software for Blackwell Infrastructure Runs AI Factories at Light Speed

NVIDIA AI Blog

Now, the AI age is marked by the development of generative AI, agentic AI and AI reasoning, which enables models to process more data to learn and reason to solve complex problems. The industrial age was fueled by steam. The digital age brought a shift through software.

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. of all code comes from suggestions generated by the model, reducing coding iteration time for these developers by 6%. Continued work can help to create safe, helpful language models for clinical application.

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SoundStorm: Efficient parallel audio generation

Google Research AI blog

Posted by Zalán Borsos, Research Software Engineer, and Marco Tagliasacchi, Senior Staff Research Scientist, Google Research The recent progress in generative AI unlocked the possibility of creating new content in several different domains, including text, vision and audio. with SPEAR-TTS ), and general audio and music generation (e.g.,

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Telecom Leaders Call Up Agentic AI to Improve Network Operations

NVIDIA AI Blog

Global telecommunications networks can support millions of user connections per day, generating more than 3,800 terabytes of data per minute on average. These LTMs and AI agents enable the next generation of AI in network operations.

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