Загрузка видео...

Не удалось загрузить видео

На главную

Securely experiment and build your own specialized agents, as the 671-billion-parameter DeepSeek-R1 model is now available as an NVIDIA NIM microservice in preview on Learn more ➡️

NVIDIAAIDev's profile picture

NVIDIA AI Developer

111,664 subscribers

643,446 просмотров • 1 год назад •via X (Twitter)

ИгрыНаука и технологииОбразование
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 5

Фото профиля LuiYo
LuiYo1 год назад

If you can't fight the enemy, join them.

Фото профиля brandon
brandon1 год назад

Savages

Фото профиля Galatasaray 🦁❤💛
Galatasaray 🦁❤💛1 год назад

@EkoKripto

Фото профиля Greg Caplan 🚀
Greg Caplan 🚀2 лет назад

Stop wasting time following up with leads. Let our AI agents do it for you.

Фото профиля Ümit KARCI
Ümit KARCI1 год назад

Don't fight, make love

Похожие видео

NVIDIA AI now lets you run Deepseek R1 in VSCode as a code assistant! 😱 With the CodeGPT extension, you can connect NVIDIA AI, then choose the Deepseek R1 model. Then select your project files to use them as context 👇
1:15

NVIDIA AI now lets you run Deepseek R1 in VSCode as a code assistant! 😱 With the CodeGPT extension, you can connect NVIDIA AI, then choose the Deepseek R1 model. Then select your project files to use them as context 👇

Daniel San

262,504 просмотров • 1 год назад

DeepSeek-R1 is available in AkashChat. R1 is currently the most capable open-source AI model, surpassing 3.5 Sonnet and o1 on several leading benchmarks.
0:49

DeepSeek-R1 is available in AkashChat. R1 is currently the most capable open-source AI model, surpassing 3.5 Sonnet and o1 on several leading benchmarks.

Akash Network

21,184 просмотров • 1 год назад

🇺🇸 ZUCK: META AI IS THE BIGGEST, BEST, IN THE WORLD!! Has anyone ever used it?... “Meta AI now has nearly 600 million monthly actives and as promised is on track to be the most used AI assistant in the world by the end of the year. Llama 3.3 is a new 70 billion parameter text model that performs about as well as our 405 billion parameter model but now it is easier and more efficient to run. So that is the last Lama 3.0 release. The next stop is Lama 4.0.” Source: Instagram
1:26

🇺🇸 ZUCK: META AI IS THE BIGGEST, BEST, IN THE WORLD!! Has anyone ever used it?... “Meta AI now has nearly 600 million monthly actives and as promised is on track to be the most used AI assistant in the world by the end of the year. Llama 3.3 is a new 70 billion parameter text model that performs about as well as our 405 billion parameter model but now it is easier and more efficient to run. So that is the last Lama 3.0 release. The next stop is Lama 4.0.” Source: Instagram

Mario Nawfal

482,099 просмотров • 1 год назад

Introducing Agent Blocks. AI agents can now work together to solve more complex problems. - Start with simple agents - Combine them into sophisticated solutions - Build on top of other's work Available now in the AutoGPT Platform ✅ Learn more ➡️
2:12

Introducing Agent Blocks. AI agents can now work together to solve more complex problems. - Start with simple agents - Combine them into sophisticated solutions - Build on top of other's work Available now in the AutoGPT Platform ✅ Learn more ➡️

AutoGPT

27,237 просмотров • 1 год назад

LLMOps, a new course with @GoogleCloud is available now. Learn Large Language Model Operations (LLMOps) best practices as you design and automate the steps to tune an LLM for a specific task and deploy it as a callable API. Learn more and enroll now:
2:11

LLMOps, a new course with @GoogleCloud is available now. Learn Large Language Model Operations (LLMOps) best practices as you design and automate the steps to tune an LLM for a specific task and deploy it as a callable API. Learn more and enroll now:

DeepLearning.AI

33,717 просмотров • 2 лет назад

🔦 NVIDIA DLSS 5 Spotlight 🔦 Watch a preview of NVIDIA DLSS 5 in #Starfield. Encounter highly detailed characters in more lifelike worlds as you embark on an epic journey to answer humanity’s greatest mystery. Learn more →
0:24

🔦 NVIDIA DLSS 5 Spotlight 🔦 Watch a preview of NVIDIA DLSS 5 in #Starfield. Encounter highly detailed characters in more lifelike worlds as you embark on an epic journey to answer humanity’s greatest mystery. Learn more →

NVIDIA GeForce

253,500 просмотров • 5 месяцев назад

Build worlds. Build bonds. Fortnite Sidekicks are now available as scriptable NPCs in UEFN. Build creature battlers, cozy farming games, companion adventures, and more. Learn more and start building today. Publishing opens on July 23:
0:53

Build worlds. Build bonds. Fortnite Sidekicks are now available as scriptable NPCs in UEFN. Build creature battlers, cozy farming games, companion adventures, and more. Learn more and start building today. Publishing opens on July 23:

Fortnite Developers

392,314 просмотров • 2 месяцев назад

While we in India should be cautious with the DeepSeek app, we can totally make use of the open source model namesake, if securely deployed on Indian servers, to leapfrog our own AI progress. कृत्रिम has deployed DeepSeek-R1 671B on H100s - first time anywhere in the world. It’s the most powerful open-source model available and to enable all Indian developers to access it, we will price it at ₹1/million tokens for February.
0:46

While we in India should be cautious with the DeepSeek app, we can totally make use of the open source model namesake, if securely deployed on Indian servers, to leapfrog our own AI progress. कृत्रिम has deployed DeepSeek-R1 671B on H100s - first time anywhere in the world. It’s the most powerful open-source model available and to enable all Indian developers to access it, we will price it at ₹1/million tokens for February.

Bhavish Aggarwal

108,609 просмотров • 1 год назад

Introducing DeepSeek R1:1.5b Running Locally in Cursor! In less than 4 minutes, I set up the DeepSeek R1:1.5b model, download it, and run it locally to seamlessly work with code in Cursor The video is shown in real-time, with the model impressively running on an Intel Core i5 😱 using Ollama and the CodeGPT extension 👇
3:45

Introducing DeepSeek R1:1.5b Running Locally in Cursor! In less than 4 minutes, I set up the DeepSeek R1:1.5b model, download it, and run it locally to seamlessly work with code in Cursor The video is shown in real-time, with the model impressively running on an Intel Core i5 😱 using Ollama and the CodeGPT extension 👇

Daniel San

584,100 просмотров • 1 год назад

The wait is over: the Azure Developer CLI is now generally available! 🚀 Use it to quickly and easily create, deploy, and manage your app on Azure. Learn more at Learn more ➡️
0:33

The wait is over: the Azure Developer CLI is now generally available! 🚀 Use it to quickly and easily create, deploy, and manage your app on Azure. Learn more at Learn more ➡️

Azure SDK

10,460 просмотров • 3 лет назад

Agents shouldn’t be one-size-fits-all. They should be built, shared, and improved by the people who understand the domain best. Agent Marketplace is live on OptimAI Search. Anyone can: • create their own agent • inject custom knowledge and logic • publish it for others to use and build on What starts as a prompt becomes a reusable unit of intelligence. As more agents are created and used, the system compounds - better agents, better outputs, more value across the network. This is how intelligence scales: not from a single model, but from a network of specialized agents.
1:43

Agents shouldn’t be one-size-fits-all. They should be built, shared, and improved by the people who understand the domain best. Agent Marketplace is live on OptimAI Search. Anyone can: • create their own agent • inject custom knowledge and logic • publish it for others to use and build on What starts as a prompt becomes a reusable unit of intelligence. As more agents are created and used, the system compounds - better agents, better outputs, more value across the network. This is how intelligence scales: not from a single model, but from a network of specialized agents.

OptimAI Network

12,527 просмотров • 3 месяцев назад

Can an iPhone hold its own against a Mac? 💻📱 Ollama is running DeepSeek R1 Distill Llama 8B on a 16GB M2 MacBook Air, while the iPhone 15 Pro (8GB A17 Pro) runs the same model. Same model. Same sampling temperature. Same system prompt. While the iPhone is a bit slower, the 3-bit OmniQuant model reasons just as well as the 4-bit RTN model on the Mac. 🤯
1:07

Can an iPhone hold its own against a Mac? 💻📱 Ollama is running DeepSeek R1 Distill Llama 8B on a 16GB M2 MacBook Air, while the iPhone 15 Pro (8GB A17 Pro) runs the same model. Same model. Same sampling temperature. Same system prompt. While the iPhone is a bit slower, the 3-bit OmniQuant model reasons just as well as the 4-bit RTN model on the Mac. 🤯

Private LLM

26,544 просмотров • 1 год назад

Hosted Agents in Microsoft Foundry is now Generally Available! This brings agent native compute for your agents with any framework, any language, and any model 🚀 Build with the GitHub Copilot App, connect to Microsoft IQ, run in Foundry, securely interact with Microsoft Teams, govern in Agent 365, and optimize to compound your learnings continuously -- such a valuable combo. Check out the demo / blog below to see it in action!
7:58

Hosted Agents in Microsoft Foundry is now Generally Available! This brings agent native compute for your agents with any framework, any language, and any model 🚀 Build with the GitHub Copilot App, connect to Microsoft IQ, run in Foundry, securely interact with Microsoft Teams, govern in Agent 365, and optimize to compound your learnings continuously -- such a valuable combo. Check out the demo / blog below to see it in action!

Jeff Hollan

285,166 просмотров • 1 месяц назад

Something new to try this weekend or on your next flight! ☀️✈️ Starting today, you can download the smallest DeepSeek R1 model for free in Craft. This lets you use a basic AI reasoning model in Craft Assistant without the internet, keeping your data completely on your device. This is an early experiment to help you stay fully offline whenever you need—so you can use Craft anywhere in the world. 🌍 Your feedback will shape how this evolves, so let us know your thoughts! ℹ️ Now available on iPhone & iPad, with Mac support coming soon! More details in our blog, link in the thread 👇
0:24

Something new to try this weekend or on your next flight! ☀️✈️ Starting today, you can download the smallest DeepSeek R1 model for free in Craft. This lets you use a basic AI reasoning model in Craft Assistant without the internet, keeping your data completely on your device. This is an early experiment to help you stay fully offline whenever you need—so you can use Craft anywhere in the world. 🌍 Your feedback will shape how this evolves, so let us know your thoughts! ℹ️ Now available on iPhone & iPad, with Mac support coming soon! More details in our blog, link in the thread 👇

Craft.do

173,755 просмотров • 1 год назад

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.
2:30

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.

Whole Mars Catalog

45,459 просмотров • 13 дней назад

Excited to announce the new preview for Microsoft Foundry Agents 🎉! You can now build, run, and deploy your agent using any model, any framework, any harness in the cloud 🧑‍💻 - check out the demo below This is not just any cloud compute environment; it's an agent-optimized platform with: 🖥️ Persistent microVMs - securely scale up and down without losing context 🛠️ Built-in tools (1000+) 👀 Observability and evaluations 👷 Guardrails 🔐 Private networking... and more
8:10

Excited to announce the new preview for Microsoft Foundry Agents 🎉! You can now build, run, and deploy your agent using any model, any framework, any harness in the cloud 🧑‍💻 - check out the demo below This is not just any cloud compute environment; it's an agent-optimized platform with: 🖥️ Persistent microVMs - securely scale up and down without losing context 🛠️ Built-in tools (1000+) 👀 Observability and evaluations 👷 Guardrails 🔐 Private networking... and more

Jeff Hollan

157,791 просмотров • 3 месяцев назад