Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

AI simplifies database development. 🤖💻⚡️ In this AWS Data & AI Bytes episode, we demonstrate how AI agents use the Model Context Protocol to handle Amazon DynamoDB tasks through simple conversations. Learn more. 👉

Amazon Web Services

2,232,781 subscribers

12,097 views • 8 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Real results from real teams. 🛠️💡 AWS Data & AI Bytes brings you demos & insights from customers building generative AI apps, scaling data platforms & modernizing with AWS services. Learn more about AWS for Data. 👉

Real results from real teams. 🛠️💡 AWS Data & AI Bytes brings you demos & insights from customers building generative AI apps, scaling data platforms & modernizing with AWS services. Learn more about AWS for Data. 👉

Amazon Web Services

12,125 views • 8 months ago

How do AI agents move from simple actions to true reasoning? In Episode 6 of Making a Mind, Dr. Danielle Perszyk and Amazon AI researcher Meiqi Sun explore how reinforcement learning helps AI handle more complex, multistep challenges.

How do AI agents move from simple actions to true reasoning? In Episode 6 of Making a Mind, Dr. Danielle Perszyk and Amazon AI researcher Meiqi Sun explore how reinforcement learning helps AI handle more complex, multistep challenges.

Amazon News

25,876 views • 3 months ago

Learn how to control the Unity Editor through the official Unity Model Context Protocol (MCP) 🤝 Try the Unity AI Beta for free:

Learn how to control the Unity Editor through the official Unity Model Context Protocol (MCP) 🤝 Try the Unity AI Beta for free:

Unity for Games

3,184,222 views • 1 month ago

Ready to level up your #generativeAI skills? The #AWS Gen AI Loft is coming to a city near you. Don't miss your chance to learn from industry leaders, connect with your local AI community, & build with LLMs, Amazon Bedrock, & AI agents. Learn more. ➡️

Ready to level up your #generativeAI skills? The #AWS Gen AI Loft is coming to a city near you. Don't miss your chance to learn from industry leaders, connect with your local AI community, & build with LLMs, Amazon Bedrock, & AI agents. Learn more. ➡️

Amazon Web Services

79,375 views • 1 year ago

Give your AI agents the keys to complexity. 🔑💻🔓 With multi-agent collaboration, now in #AmazonBedrock, create networks of specialized AI agents that communicate & coordinate through workflows seamlessly, unlocking solutions at every level. #AWS 👉

Give your AI agents the keys to complexity. 🔑💻🔓 With multi-agent collaboration, now in #AmazonBedrock, create networks of specialized AI agents that communicate & coordinate through workflows seamlessly, unlocking solutions at every level. #AWS 👉

Amazon Web Services

12,441 views • 1 year ago

Learn how #AI pioneers are innovating with Trainium2. 🛠️💻⚡️ Anthropic's Claude Haiku runs 60% faster on Trainium2 via Amazon Bedrock's latency-optimized inference. See what powers this performance. #AWS #TrainiumTuesdays #generativeAI 👉

Learn how #AI pioneers are innovating with Trainium2. 🛠️💻⚡️ Anthropic's Claude Haiku runs 60% faster on Trainium2 via Amazon Bedrock's latency-optimized inference. See what powers this performance. #AWS #TrainiumTuesdays #generativeAI 👉

Amazon Web Services

12,541 views • 1 year ago

Co-founder of Virtuals Protocol, EtherMage (🤖,🦄), diving in on how he see's AI agents working together to create larger economic value through finance trading, prediction markets & more!

Co-founder of Virtuals Protocol, EtherMage (🤖,🦄), diving in on how he see's AI agents working together to create larger economic value through finance trading, prediction markets & more!

Coinbase Developer Platform🛡️

19,986 views • 6 months ago

#AWS introduces the #GenerativeAI Innovation Center. 📣 This program offers workshops, engagements & trainings aimed to help organizations build & deploy generative AI solutions with the support of AWS AI & ML experts. Learn more. 👉

#AWS introduces the #GenerativeAI Innovation Center. 📣 This program offers workshops, engagements & trainings aimed to help organizations build & deploy generative AI solutions with the support of AWS AI & ML experts. Learn more. 👉

Amazon Web Services

58,149 views • 3 years ago

Creating an AI Agent? 𝙏𝙝𝙚 𝙠𝙚𝙮 𝙞𝙨 𝙘𝙤𝙝𝙚𝙧𝙚𝙣𝙩 𝙥𝙧𝙤𝙢𝙥𝙩𝙞𝙣𝙜— defining how your agent thinks and executes tasks effectively. Our step-by-step TARS AI 🤖 guide simplifies the process! Learn how to structure prompts, fine-tune behaviors, and deploy agents seamlessly. 🔑 The four key questions help you define your AI 𝘼𝙜𝙚𝙣𝙩’𝙨 𝙥𝙚𝙧𝙨𝙤𝙣𝙖𝙡𝙞𝙩𝙮, 𝙚𝙭𝙥𝙚𝙧𝙩𝙞𝙨𝙚, 𝙘𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙤𝙣 𝙨𝙩𝙮𝙡𝙚, 𝙖𝙣𝙙 𝙘𝙤𝙧𝙚 𝙖𝙩𝙩𝙧𝙞𝙗𝙪𝙩𝙚𝙨. 👉 Read now: Link:

Creating an AI Agent? 𝙏𝙝𝙚 𝙠𝙚𝙮 𝙞𝙨 𝙘𝙤𝙝𝙚𝙧𝙚𝙣𝙩 𝙥𝙧𝙤𝙢𝙥𝙩𝙞𝙣𝙜— defining how your agent thinks and executes tasks effectively. Our step-by-step TARS AI 🤖 guide simplifies the process! Learn how to structure prompts, fine-tune behaviors, and deploy agents seamlessly. 🔑 The four key questions help you define your AI 𝘼𝙜𝙚𝙣𝙩’𝙨 𝙥𝙚𝙧𝙨𝙤𝙣𝙖𝙡𝙞𝙩𝙮, 𝙚𝙭𝙥𝙚𝙧𝙩𝙞𝙨𝙚, 𝙘𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙤𝙣 𝙨𝙩𝙮𝙡𝙚, 𝙖𝙣𝙙 𝙘𝙤𝙧𝙚 𝙖𝙩𝙩𝙧𝙞𝙗𝙪𝙩𝙚𝙨. 👉 Read now: Link:

Armielyn Obinguar

29,177 views • 1 year ago

We're making comprehensive, real-time crypto market data accessible to AI agents 🤖 CoinGecko API now supports x402, the open payment protocol developed by Coinbase 🛡️ that lets AI agents (such as OpenClaw🦞 🦞) pay for crypto price and market data using USDC. Learn how it works 👇

We're making comprehensive, real-time crypto market data accessible to AI agents 🤖 CoinGecko API now supports x402, the open payment protocol developed by Coinbase 🛡️ that lets AI agents (such as OpenClaw🦞 🦞) pay for crypto price and market data using USDC. Learn how it works 👇

CoinGecko

145,114 views • 4 months ago

AI that senses coding frustration, is this the future of learning? In our latest GitHub Podcast episode we talk to Angie Jones about Goose, Block’s open source AI agent and reference implementation of the Model Context Protocol (MCP).

AI that senses coding frustration, is this the future of learning? In our latest GitHub Podcast episode we talk to Angie Jones about Goose, Block’s open source AI agent and reference implementation of the Model Context Protocol (MCP).

GitHub

16,414 views • 6 months ago

AI agents are evolving and becoming more proactive. From cloud-based to on-device, these systems can run continuously, handle tasks, and keep sensitive data local. New Liquid Foundation Models bring agents directly to your laptop and phone, even while you are offline. Watch the latest episode of Advanced Insights to learn more about our partnership with Liquid AI:

AI agents are evolving and becoming more proactive. From cloud-based to on-device, these systems can run continuously, handle tasks, and keep sensitive data local. New Liquid Foundation Models bring agents directly to your laptop and phone, even while you are offline. Watch the latest episode of Advanced Insights to learn more about our partnership with Liquid AI:

AMD

29,364 views • 2 months ago

Deep learning. Large language models. Vast capabilities. ☁️💻💡 From chatbots to code generation, learn how #GenerativeAI is redefining #ML-powered capabilities—& how you can build & use large language on #AWS. #MachineLearning #AI 👉

Deep learning. Large language models. Vast capabilities. ☁️💻💡 From chatbots to code generation, learn how #GenerativeAI is redefining #ML-powered capabilities—& how you can build & use large language on #AWS. #MachineLearning #AI 👉

Amazon Web Services

113,245 views • 3 years ago

Take the fast lane from prototype to production. 🛣️⚡️☁️ Introducing Amazon Bedrock AgentCore, fully-managed services to deploy & operate capable AI agents securely, at scale. Accelerate your development using any framework & any model. 👉

Take the fast lane from prototype to production. 🛣️⚡️☁️ Introducing Amazon Bedrock AgentCore, fully-managed services to deploy & operate capable AI agents securely, at scale. Accelerate your development using any framework & any model. 👉

Amazon Web Services

4,110,418 views • 11 months ago

I made an AI data science team with Python. I'm excited to share my new project, the AI Data Science Team, a Python package for creating AI co-pilots and agents to assist in common data science tasks. I walk you through the GitHub page, showcasing the progress and potential of this project. I'll explain how these agents can streamline tasks like code generation and modeling pipeline creation, making data science projects more efficient. Introduction to AI Data Science Team Project Integrating Human-in-the-Loop Example: Accessing Agents for Feature Engineering Setting up Feature Engineering Agent Code On GitHub: Python AI-Tips Newsletter (stay updated as I build this project in the open):

I made an AI data science team with Python. I'm excited to share my new project, the AI Data Science Team, a Python package for creating AI co-pilots and agents to assist in common data science tasks. I walk you through the GitHub page, showcasing the progress and potential of this project. I'll explain how these agents can streamline tasks like code generation and modeling pipeline creation, making data science projects more efficient. Introduction to AI Data Science Team Project Integrating Human-in-the-Loop Example: Accessing Agents for Feature Engineering Setting up Feature Engineering Agent Code On GitHub: Python AI-Tips Newsletter (stay updated as I build this project in the open):

Matt Dancho (Business Science)

11,799 views • 1 year ago

Our native audio capabilities are making AI conversations more natural – from understanding tone to generating expressive speech. ✍️🗣️ This could open up new possibilities for how we interact with AI. Developers, try it through Google AI Studio. Learn more. ↓

Our native audio capabilities are making AI conversations more natural – from understanding tone to generating expressive speech. ✍️🗣️ This could open up new possibilities for how we interact with AI. Developers, try it through Google AI Studio. Learn more. ↓

Google DeepMind

72,977 views • 1 year ago

Build AI agents that scale: Serverless architectures on AWS. Navigate the complexities of creating, running & scaling production-grade AI apps & discover which solutions to use. Get started with Build AI on AWS: The Startup Series Part 1.

Build AI agents that scale: Serverless architectures on AWS. Navigate the complexities of creating, running & scaling production-grade AI apps & discover which solutions to use. Get started with Build AI on AWS: The Startup Series Part 1.

AWS Startups

9,707,104 views • 4 months ago

What does it take to build chips that train trillion-parameter AI models? 🛠️💻 #AWS Trainium's chief architect breaks it down in this must-listen episode. #AI #TrainiumTuesdays 👉

What does it take to build chips that train trillion-parameter AI models? 🛠️💻 #AWS Trainium's chief architect breaks it down in this must-listen episode. #AI #TrainiumTuesdays 👉

Amazon Web Services

11,670 views • 1 year ago

88% accuracy. Built in hallucination filtering. 🤖🔍⚡️ Amazon Bedrock Guardrails just leveled up making it easier to build secure, responsible #AI apps at scale. #AWS #generativeAI 👉

88% accuracy. Built in hallucination filtering. 🤖🔍⚡️ Amazon Bedrock Guardrails just leveled up making it easier to build secure, responsible #AI apps at scale. #AWS #generativeAI 👉

Amazon Web Services

10,480 views • 1 year ago