NVIDIA NeMo™ is an end-to-end platform for developing custom generative AI—including large language models (LLMs), vision language models (VLMs), video models, and speech AI—anywhere. Deliver enterprise-ready models with precise data curation, cutting-edge customization, retrieval-augmented ...
Moreover, generative AI enables efficient image augmentation without modifying the entire 3D scene. Using simple text-based prompts, developers can swiftly add realistic details like surface rust or apply selective blur effects. This approach dramatically accelerates the creation of diverse datasets...
“Generative AI is changing the world of marketing at incredible speed,” said Mark Read, CEO of WPP. “Our partnership with NVIDIA gives WPP a unique competitive advantage through an AI solution that is available to clients nowhere else in the market today. This new technology...
"This collaboration is a truly impactful application of generative AI, leveraging the power of technology and expertise for the good of the planet", said Alessandro Curioni, IBM Fellow, Vice President Europe and Africa and Director IBM Research Zurich. "At IBM, we believe in th...
Vij said he envisages a future world in which just about everybody can become a programmer. That’s because they won’t need any coding expertise, as they will simply be able to command generative AI to create the code for them, using their natural language. “All of our research a...
Liquid AI Inc., an artificial intelligence startup and MIT spinoff developing generative AI models based on a fundamentally different architecture than transformer-based AI,today announcedit has raised $250 million in an early-stage funding round led by Advanced Micro Devices Inc. ...
Generative AI is a powerful tool to build intelligent apps that enhance patient engagement, automate care management, and streamline workflows. With the Microsoft Azure AI application platform, healthcare organizations can develop intelligent applications that improve patient health outcomes, reduce co...
Advantages of generative approaches The preceding sections showed how to implement the core part of model inference. In this section, we cover various aspects of generative approaches, including comparisons with conventional approaches and perspectives. ...
“We’ve already realized an increase in revenue per visit and conversion rates had great success using Google Cloud’s AI technology and are looking forward to exploring how these latest announcements bring together Natural Language Processing and Generative AI capabilities to deliver next-gen...
Generative AI has quickly become the generation-defining technology shaping how we search and consume information every day, and it’s been wonderful to see customers across industries embraceMicrosoft Azure OpenAI Service. In March, we announced the preview ofOpenAI’s GPT-4 in Azure OpenAI Serv...