正在加载视频...

视频加载失败

返回首页

From 3-layer to 4-layer architecture - revolutionary changes in IT stack for AI. This transformation impacts generative AI, LLMs, and more. But what exactly is this 4-layer architecture, and what impact does it bring? Watch the video to find out! #AI #IT #LLM #generativeAI

Baidu_Inc's profile picture

Baidu Inc.

150,032 subscribers

152,382 次观看 • 3 年前 •via X (Twitter)

科学技术#AI#IT#LLM#generativeAI
LIVE

Anya Rossi• Live Now

Private livecam show

4 条评论

SeadogMariner 🇺🇦 的头像
SeadogMariner 🇺🇦3 年前

… all censored by the Chinese state.

PI ecosystem 的头像
PI ecosystem3 年前

@crayzshiba to the moon Good project and good partnership soon the world will hear

Graylan 的头像
Graylan3 年前

Ernie <3 DAO

🇦 🇦 🇩 🇫 🇦 🇷 的头像
🇦 🇦 🇩 🇫 🇦 🇷3 年前

AI 😂

相关视频

To understand what’s next for AI, you first have to understand how computing architecture is evolving. In the agentic era, intelligence is becoming distributed across devices, the edge, and the data center, allowing every layer of the stack to do what it does best:
1:31

To understand what’s next for AI, you first have to understand how computing architecture is evolving. In the agentic era, intelligence is becoming distributed across devices, the edge, and the data center, allowing every layer of the stack to do what it does best:

Qualcomm

10,222 次观看 • 2 个月前

What is the AI "Context Layer" and why does it matter? Let me show you a realtime example. If you are experiencing limitations in how AI is able to impact your eCommerce business specifically check this out.
7:35

What is the AI "Context Layer" and why does it matter? Let me show you a realtime example. If you are experiencing limitations in how AI is able to impact your eCommerce business specifically check this out.

Taylor Holiday

40,101 次观看 • 6 个月前

AI is threatening ALL creative work. This is why we built Camp, the Autonomous IP Layer 1 Blockchain. But what does that mean — and why should it matter to you?
0:33

AI is threatening ALL creative work. This is why we built Camp, the Autonomous IP Layer 1 Blockchain. But what does that mean — and why should it matter to you?

Camp Network

344,120 次观看 • 1 年前

NeurochainAI is the all-in-one platform for developers to build AI dApps including GPU DePIN, Data Layer, and AI model layer. But what does it actually mean? AI is a $1.8 trillion industry, and NeurochainAI is tapping into 1% of that - as an infrastructure of interconnected GPUs, AI models, and data. Even simpler? Think of us as Ethereum for AI🧠🌐
0:30

NeurochainAI is the all-in-one platform for developers to build AI dApps including GPU DePIN, Data Layer, and AI model layer. But what does it actually mean? AI is a $1.8 trillion industry, and NeurochainAI is tapping into 1% of that - as an infrastructure of interconnected GPUs, AI models, and data. Even simpler? Think of us as Ethereum for AI🧠🌐

Neurochain.AI

106,103 次观看 • 2 年前

I gave the keynote at UC Berkeley's ProductCon - "How to Become an Elite AI-Powered Product Manager" This is the full talk + behind-the-scenes footage: 0:00 - Why This Matters 4:11 - Layer 1: Prompting Fundamentals 10:46 - Layer 2: AI Co-pilots 19:45 - Layer 3: AI Agents 27:00 - Layer 4: AI Prototyping 31:45 - Layer 5: AI Discovery 39:37 - Layer 6: Evals & Observability 42:53 - Layer 7: Vibe Experimentation 50:56 - Behind the Scenes
55:24

I gave the keynote at UC Berkeley's ProductCon - "How to Become an Elite AI-Powered Product Manager" This is the full talk + behind-the-scenes footage: 0:00 - Why This Matters 4:11 - Layer 1: Prompting Fundamentals 10:46 - Layer 2: AI Co-pilots 19:45 - Layer 3: AI Agents 27:00 - Layer 4: AI Prototyping 31:45 - Layer 5: AI Discovery 39:37 - Layer 6: Evals & Observability 42:53 - Layer 7: Vibe Experimentation 50:56 - Behind the Scenes

Aakash Gupta

411,019 次观看 • 8 个月前

There are five layers in the #AI architecture: the application layer, model layer, chip layer, infrastructure layer, and energy layer. India is working on all five layers and making good progress in each of them. On the application layer, India will probably be the supplier of services to the world - Union Minister Ashwini Vaishnaw at the WEF, speaking on India’s capabilities in AI-based solutions in services #WorldEconomicForum2026 #WEF26 #WEF2026
2:04

There are five layers in the #AI architecture: the application layer, model layer, chip layer, infrastructure layer, and energy layer. India is working on all five layers and making good progress in each of them. On the application layer, India will probably be the supplier of services to the world - Union Minister Ashwini Vaishnaw at the WEF, speaking on India’s capabilities in AI-based solutions in services #WorldEconomicForum2026 #WEF26 #WEF2026

PIB India

18,676 次观看 • 8 个月前

Don't waste 2 years learning to become an AI researcher in 2026. This is the exact 3 hour course on the math & architecture behind every LLM. • 00:00 - what an AI researcher does • 46:07 - the math behind LLMs • 1:54:00 - neural networks from scratch • 2:14:14 - LLM attention mechanism • 3:04:15 - LLM tokenization explained Anthropic pays $850,000/year to AI researchers who master this exact knowledge. Bookmark & give it 3 hours, no matter what. It will be the most productive thing you do this weekend.
3:06:52

Don't waste 2 years learning to become an AI researcher in 2026. This is the exact 3 hour course on the math & architecture behind every LLM. • 00:00 - what an AI researcher does • 46:07 - the math behind LLMs • 1:54:00 - neural networks from scratch • 2:14:14 - LLM attention mechanism • 3:04:15 - LLM tokenization explained Anthropic pays $850,000/year to AI researchers who master this exact knowledge. Bookmark & give it 3 hours, no matter what. It will be the most productive thing you do this weekend.

Roan

89,152 次观看 • 2 个月前

🔼 Autonomys—Under the Hood | The Architecture of the Foundation Layer for AI3.0 Blockchains are abundant, but true decentralization? That’s rare. Understanding what sets a network apart is essential—whether you’re building, contributing, or seeking AI-ready infrastructure. In this video, we break down the Autonomys Network, powered by the Subspace Protocol, and explore the core components that make it the foundation layer for AI3.0.
3:55

🔼 Autonomys—Under the Hood | The Architecture of the Foundation Layer for AI3.0 Blockchains are abundant, but true decentralization? That’s rare. Understanding what sets a network apart is essential—whether you’re building, contributing, or seeking AI-ready infrastructure. In this video, we break down the Autonomys Network, powered by the Subspace Protocol, and explore the core components that make it the foundation layer for AI3.0.

Autonomys | AI3.0

237,505 次观看 • 1 年前

Don't waste 2 years learning to build LLMs like Claude & ChatGPT. MIT dropped a 3 hour course on building LLMs from scratch for free. Training → Architecture → Scale. It covers everything about LLMs. • 00:00 - training an LLM • 1:20:46 - LLM architecture from scratch • 2:34:56 - scaling laws for LLMs Anthropic pays $750,000/year to AI engineers in 2026 who master this exact knowledge. Bookmark this & skip Netflix. Give it 4 hours today. Then read the article below.
3:13:05

Don't waste 2 years learning to build LLMs like Claude & ChatGPT. MIT dropped a 3 hour course on building LLMs from scratch for free. Training → Architecture → Scale. It covers everything about LLMs. • 00:00 - training an LLM • 1:20:46 - LLM architecture from scratch • 2:34:56 - scaling laws for LLMs Anthropic pays $750,000/year to AI engineers in 2026 who master this exact knowledge. Bookmark this & skip Netflix. Give it 4 hours today. Then read the article below.

Roan

86,642 次观看 • 1 个月前

The AI economy is not just software. It is energy. Chips. Infrastructure. Models. Applications. And every layer needs people to build it. At NVIDIA’s Five-Layer AI event, co-founder Chris Malachowsky, former secretary of commerce Gina Raimondo and Mike Rowe discussed why the future of AI means opportunity for workers across the entire stack.
0:45

The AI economy is not just software. It is energy. Chips. Infrastructure. Models. Applications. And every layer needs people to build it. At NVIDIA’s Five-Layer AI event, co-founder Chris Malachowsky, former secretary of commerce Gina Raimondo and Mike Rowe discussed why the future of AI means opportunity for workers across the entire stack.

NVIDIA

28,786 次观看 • 6 个月前

The biggest mistake in thinking about AI and robots? expecting it to act human. It won’t and that’s exactly why it’ll be 1000× more capable i.e. this RC helicopter shows what machines can do when you remove the anthropomorphism layer in your expectations
0:37

The biggest mistake in thinking about AI and robots? expecting it to act human. It won’t and that’s exactly why it’ll be 1000× more capable i.e. this RC helicopter shows what machines can do when you remove the anthropomorphism layer in your expectations

antoine

1,919,153 次观看 • 11 个月前

Google is offering a Generative AI Learning Path with 10 courses for FREE! - Intro to Generative AI - Intro to LLMs - Intro to Image Generation - Encoder-Decoder Architecture - Transformer Models and more A Thread 🧵👇
0:29

Google is offering a Generative AI Learning Path with 10 courses for FREE! - Intro to Generative AI - Intro to LLMs - Intro to Image Generation - Encoder-Decoder Architecture - Transformer Models and more A Thread 🧵👇

Afiz ⚡️

249,673 次观看 • 3 年前

The AI App Layer is a valuation trap, and most AI apps will go to zero. Billionaire investor Graham Weaver breaks down the four AI zones. Pick wrong and you’re cooked: 1. Infrastructure Layer (SAFE): Chips, data centers, energy - print money as long as the lights stay on. 2. Model Layer (RED): OpenAI, Google, Anthropic - you need billions and success is already priced in. 3. App Layer (DANGER ZONE): High churn, constant attack from LLM updates and customers building it themselves. 4. Use-Case Layer (GOLD): Buy boring operating businesses and use AI to crush the overhead. This has real cash flow + automation. Stop trying to out-code the giants in the cloud. Go where the algorithm can’t follow: proprietary data, deep customer relationships, and real-world results. The ultimate moat isn’t a better prompt; it’s owning the actual customer in the physical world. Sam Parr Shaan Puri
2:37

The AI App Layer is a valuation trap, and most AI apps will go to zero. Billionaire investor Graham Weaver breaks down the four AI zones. Pick wrong and you’re cooked: 1. Infrastructure Layer (SAFE): Chips, data centers, energy - print money as long as the lights stay on. 2. Model Layer (RED): OpenAI, Google, Anthropic - you need billions and success is already priced in. 3. App Layer (DANGER ZONE): High churn, constant attack from LLM updates and customers building it themselves. 4. Use-Case Layer (GOLD): Buy boring operating businesses and use AI to crush the overhead. This has real cash flow + automation. Stop trying to out-code the giants in the cloud. Go where the algorithm can’t follow: proprietary data, deep customer relationships, and real-world results. The ultimate moat isn’t a better prompt; it’s owning the actual customer in the physical world. Sam Parr Shaan Puri

My First Million

286,077 次观看 • 5 个月前

Bharat is investing across the full AI value chain! ➡️From applications & models to semiconductor chips, data centres, and energy - every layer of the AI stack is being strengthened. 📍Rajasthan Regional AI Impact Conference 2026
1:35

Bharat is investing across the full AI value chain! ➡️From applications & models to semiconductor chips, data centres, and energy - every layer of the AI stack is being strengthened. 📍Rajasthan Regional AI Impact Conference 2026

Ashwini Vaishnaw

43,080 次观看 • 9 个月前

The AI Operating System for Companies Diana The best AI-native companies have made their entire company queryable: every meeting, ticket, and customer interaction legible to an intelligence layer that learns from it. Building this today requires brutal integration work, and there's no product that connects all this context into a single layer that can reason across it.
1:20

The AI Operating System for Companies Diana The best AI-native companies have made their entire company queryable: every meeting, ticket, and customer interaction legible to an intelligence layer that learns from it. Building this today requires brutal integration work, and there's no product that connects all this context into a single layer that can reason across it.

Y Combinator

111,117 次观看 • 5 个月前

When it comes to AI, you can simplify architecture, boost security, and scale in any cloud or on-prem. Find out how from AI and database experts.
0:42

When it comes to AI, you can simplify architecture, boost security, and scale in any cloud or on-prem. Find out how from AI and database experts.

Oracle

19,457,400 次观看 • 6 个月前