Remove Application Remove Language Remove Model
article thumbnail

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. What Is Tokenization?

Language 106
article thumbnail

NVIDIA NIM Microservices Now Available to Streamline Agentic Workflows on RTX AI PCs and Workstations

NVIDIA AI Blog

Announced at the CES trade show in January, NVIDIA NIM provides prepackaged, state-of-the-art AI models optimized for the NVIDIA RTX platform, including the NVIDIA GeForce RTX 50 Series and, now, the new NVIDIA Blackwell RTX PRO GPUs. They span the top modalities for PC development and are compatible with top ecosystem applications and tools.

PDF 117
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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

Google Research AI blog

Transform modalities, or translate the world’s information into any language. I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. We want to solve complex mathematical or scientific problems. Diagnose complex diseases, or understand the physical world.

Language 132
article thumbnail

PaLM-E: An embodied multimodal language model

Google Research AI blog

Posted by Danny Driess, Student Researcher, and Pete Florence, Research Scientist, Robotics at Google Recent years have seen tremendous advances across machine learning domains, from models that can explain jokes or answer visual questions in a variety of languages to those that can produce images based on text descriptions.

Language 124
article thumbnail

3 Easy Ways to Fine-Tune Language Models

Machine Learning Mastery

Language models have quickly become cornerstones of many business applications in recent years. As language models continue to find their place in people’s lives, the community has made many breakthroughs to improve models’ capabilities, primarily through fine-tuning.

Language 105
article thumbnail

MCP: The new “USB-C for AI” that’s bringing fierce rivals together

Ars Technica

Despite a fundamental difference in direction that led Anthropic's founders to quit OpenAI in 2020 and later create the Claude AI assistant, a shared technical hurdle has now brought them together: How to easily connect their AI models to external data sources. Read full article Comments

Model 137
article thumbnail

What Are Foundation Models?

NVIDIA AI Blog

Like the prolific jazz trumpeter and composer, researchers have been generating AI models at a feverish pace, exploring new architectures and use cases. In a 2021 paper, researchers reported that foundation models are finding a wide array of uses. Earlier neural networks were narrowly tuned for specific tasks. See chart below.)