The AI Factory is revolutionizing the industry by creating a new commodity of extraordinary value through the development of NIMS, which has the ability to generate language models, pre-trained models, and digital humans for various applications
Questions to inspire discussion
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What is the impact of ChatGPT on generative AI?
—NVIDIA CEO discusses the impact of ChatGPT on generative AI, highlighting the latest developments in AI.
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What is NIMS and how does it revolutionize the industry?
—NIMS is a new type of AI software that revolutionizes the industry by running pre-trained models in a complex computing stack to increase throughput and revenues in factories.
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What is the potential for AI in customer service agents?
—NVIDIA CEO discusses the potential for language models and AI to augment and improve customer service across various industries.
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What is the concept of NIMS and how does it change the application layer?
—NIMS is a new AI system that changes the application layer by assembling reasoning agents into teams to solve tasks and perform various functions.
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How does NVIDIA CEO discuss the creation of a digital twin of Earth?
—NVIDIA CEO discusses the creation of a digital twin of Earth and the potential for AI to improve itself through synthetic data and self-play.
Key Insights
- 🧠 "A lot of people are failing to grasp what it is that we've created when Jensen talks about an AI Factory."
- 🤖 The AI Factory is generating a new commodity of extraordinary value for every industry, marking a new Industrial Revolution.
- 🖥️ Nims are going to change what we think of AI and AI agents, revolutionizing the industry the same way Microsoft changed the computer industry with prepackaged software.
- 🔗 The AI in the box, called NIMS, has the ability to create large language models, pre-trained models, and digital humans for various industries and applications.
- 🌐 Interacting with digital humans could be the future of AI applications, providing a more human-like form of interaction.
- 🧠 The emergence of self-improving AI through the concept of synthetic data and self-play is a breakthrough in the field of AI.
- 🤖 Transformers enable unsupervised learning by studying enormous amounts of data, finding patterns and relationships itself.
- 🧠 AI needs to have excellent cognitive capabilities to understand and interpret the world, as well as understand and perform tasks for us.
#SyntheticMinds #NVIDIA
XMentions: @WesRoth @HabitatsDigital @MrJensenHuang @NVIDIA
Clips
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00:00 🤖 AI factories and digital humans are the future of AI, with the ability to generate tokens for world simulations and Chad GPT impacting generative AI.
- NVIDIA CEO Jensen Huang discusses the latest developments in AI, including the concept of AI factories and the impact of Chad GPT on generative AI.
- Tokens can be generated for a wide range of things, allowing for the creation of digital humans, world simulations, and AI factories.
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03:01 🚀 Supercomputers evolving into AI factories creating tokens, leading to new market opportunities and potential industrial revolution, with generative AI and simulations driving intelligence for every industry.
- NVIDIA CEO discusses the evolution of supercomputers into AI factories that generate tokens, creating a new commodity with large market opportunities and potential for a new industrial revolution.
- The IT industry is creating intelligence for every industry through generative AI, simulations, and artificial intelligence, leading to an exciting restart of the computer industry.
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06:51 🤖 Nims AI software will revolutionize industry by increasing throughput and revenues in factories, crucial for data center utilization and optimal operations.
- Nims, a new type of AI software, will revolutionize the industry by running pre-trained models in a complex computing stack to increase throughput and revenues in factories.
- Throughput is crucial for data center utilization and directly impacts the financial performance of a company, leading to the measurement of various parameters for optimal operations.
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09:34 🚀 NVIDIA CEO reveals new AI system NIMS, cloud native, integrates 400 dependencies, used for digital humans and language models, Llama 3 Nim released for free.
- NVIDIA CEO reveals a new AI system called NIMS, which is cloud native, integrates 400 dependencies into one, and can be used for various applications including digital humans and language models.
- Nvidia has released the Llama 3 Nim, fully optimized and available for free to try in the cloud or download for use in your own data center.
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11:55 🤖 NVIDIA CEO discusses the use of AI in customer service agents and the concept of NIMS, as well as the development of digital human technology for more engaging interactive agents.
- NVIDIA CEO discusses the use of AI in customer service agents across various industries, emphasizing the potential for language models and AI to augment and improve customer service.
- NVIDIA CEO discusses the concept of NIMS, reasoning agents that can be assembled into teams to solve tasks and perform various functions, changing the application layer to assemble teams of AI experts.
- NVIDIA is developing digital human technology to create more engaging and empathetic interactive agents.
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15:53 🚀 Nvidia chips can simulate quantum computers and solve complex problems, leading to the emergence of new ways of using computers and the potential for AI to improve itself through synthetic data and self-play.
- Nvidia chips can simulate quantum computers and solve complex problems using an algorithm that runs on accelerated computing, holding every major world record, and is used by hundreds of researchers worldwide.
- The possibility of simulating realities with assimilated beings is becoming more feasible as the cost of computing decreases, leading to the emergence of new ways of using computers.
- Large language models can now be trained with all internet data, leading to the emergence of artificial intelligence and a virtual cycle of increasing computing capabilities and demand.
- NVIDIA CEO discusses the creation of a digital twin of Earth and the potential for AI to improve itself through synthetic data and self-play.
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20:21 🤖 AI can now train on large datasets without human supervision, and the next generation of AI needs to be grounded in the laws of physics to generate images, videos, and 3D graphics.
- Transformers can now train on large datasets without human supervision, allowing them to learn patterns and relationships from massive amounts of data, including video and images.
- The next generation of AI needs to be physically based and grounded in the laws of physics in order to generate images, videos, 3D graphics, and other physics phenomena, and as data generation grows, the amount of computation needs to grow with it.
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22:35 🤖 AI is evolving to understand the world, work alongside humans, and orchestrate robotic factories.
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Duration: 0:23:46
Publication Date: 2024-06-04T12:02:09Z
WatchUrl:https://www.youtube.com/watch?v=PM6dRb8ttzQ
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