• Project Astra demonstrates a universal AI assistant's capabilities in helping with bike repairs. It assists in finding user manuals, YouTube tutorials, email details, and making phone calls to bike shops. The assistant also provides information on brake pads and suggests dog baskets for the bike, showcasing its multifunctional support.

    #ProjectAstra #GeminiAI #AIassistant #MultimodalAI #GoogleAI #BikeRepair #AIsupport #GenerativeAI #VisionAI #ContextAwareAI #RealTimeAI #DogBasket #MaintenanceAI #LLM #Chatbot

    https://youtu.be/JcDBFAm9PPI?si=8NjCKhOF81GDG4k1
    Project Astra demonstrates a universal AI assistant's capabilities in helping with bike repairs. It assists in finding user manuals, YouTube tutorials, email details, and making phone calls to bike shops. The assistant also provides information on brake pads and suggests dog baskets for the bike, showcasing its multifunctional support. #ProjectAstra #GeminiAI #AIassistant #MultimodalAI #GoogleAI #BikeRepair #AIsupport #GenerativeAI #VisionAI #ContextAwareAI #RealTimeAI #DogBasket #MaintenanceAI #LLM #Chatbot https://youtu.be/JcDBFAm9PPI?si=8NjCKhOF81GDG4k1
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  • Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI.

    Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today.

    Resources:
    Get Started → https://google.github.io/adk-docs
    Sample Agents → https://goo.gle/3Rbdo4s

    Subscribe to Google for Developers → https://goo.gle/developers

    #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic
    Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. Resources: Get Started → https://google.github.io/adk-docs Sample Agents → https://goo.gle/3Rbdo4s Subscribe to Google for Developers → https://goo.gle/developers #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic
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  • Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI.

    Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today.

    #ADK #AgentDevelopmentKit #GoogleAI #AIAgents #MultiModal #MultiAgentSystems #OpenSource #SoftwareDevelopment #AIDevelopment #AIWorkflow #AItools #AutoGen #LangChain #AIPlanning #Debugging #BuiltInUI #TravelPlanner #AgentFramework #ModelAgnostic #DeploymentAgnostic

    https://youtu.be/zgrOwow_uTQ
    Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. #ADK #AgentDevelopmentKit #GoogleAI #AIAgents #MultiModal #MultiAgentSystems #OpenSource #SoftwareDevelopment #AIDevelopment #AIWorkflow #AItools #AutoGen #LangChain #AIPlanning #Debugging #BuiltInUI #TravelPlanner #AgentFramework #ModelAgnostic #DeploymentAgnostic https://youtu.be/zgrOwow_uTQ
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  • Exciting News! Dive into the world of AI with this fantastic interactive tutorial on prompt engineering by Anthropic! Whether you're a curious beginner or a seasoned tech enthusiast, this course is designed to spark your creativity and enhance your understanding of AI-driven solutions. Don't miss out on the opportunity to learn from the best and elevate your skills! Check it out here: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P

    Welcome to Anthropic's educational courses. This repository currently contains five courses. We suggest completing the courses in the following order:

    Anthropic API fundamentals - teaches the essentials of working with the Claude SDK: getting an API key, working with model parameters, writing multimodal prompts, streaming responses, etc.
    Prompt engineering interactive tutorial - a comprehensive step-by-step guide to key prompting techniques. [AWS Workshop version]
    Real world prompting - learn how to incorporate prompting techniques into complex, real world prompts. [Google Vertex version]
    Prompt evaluations - learn how to write production prompt evaluations to measure the quality of your prompts.
    Tool use - teaches everything you need to know to implement tool use successfully in your workflows with Claude.

    #AI #MachineLearning #ArtificialIntelligence #TechTrends #Innovation #FutureTech #AICommunity #LearnAI #TechEducation #DigitalSkills #AIRevolution #TechLovers #CodingLife #InteractiveLearning #AnthropicAI #PromptEngineering #ExploreAI #TechSavvy #AIInsights #SkillUp
    🚀 Exciting News! 🚀 Dive into the world of AI with this fantastic interactive tutorial on prompt engineering by Anthropic! Whether you're a curious beginner or a seasoned tech enthusiast, this course is designed to spark your creativity and enhance your understanding of AI-driven solutions. Don't miss out on the opportunity to learn from the best and elevate your skills! Check it out here: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P Welcome to Anthropic's educational courses. This repository currently contains five courses. We suggest completing the courses in the following order: Anthropic API fundamentals - teaches the essentials of working with the Claude SDK: getting an API key, working with model parameters, writing multimodal prompts, streaming responses, etc. Prompt engineering interactive tutorial - a comprehensive step-by-step guide to key prompting techniques. [AWS Workshop version] Real world prompting - learn how to incorporate prompting techniques into complex, real world prompts. [Google Vertex version] Prompt evaluations - learn how to write production prompt evaluations to measure the quality of your prompts. Tool use - teaches everything you need to know to implement tool use successfully in your workflows with Claude. #AI #MachineLearning #ArtificialIntelligence #TechTrends #Innovation #FutureTech #AICommunity #LearnAI #TechEducation #DigitalSkills #AIRevolution #TechLovers #CodingLife #InteractiveLearning #AnthropicAI #PromptEngineering #ExploreAI #TechSavvy #AIInsights #SkillUp
    courses/prompt_engineering_interactive_tutorial/Anthropic 1P at master · anthropics/courses
    github.com
    Anthropic's educational courses. Contribute to anthropics/courses development by creating an account on GitHub.
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  • BAGEL is a multimodal foundation model developed by ByteDance. It's an open-source model with 7 billion active parameters (14 billion total). BAGEL was trained on extensive interleaved multimodal data. It's designed for unified generation and understanding, building upon large language models. The model was introduced in May 2025.

    https://github.com/ByteDance-Seed/Bagel
    BAGEL is a multimodal foundation model developed by ByteDance. It's an open-source model with 7 billion active parameters (14 billion total). BAGEL was trained on extensive interleaved multimodal data. It's designed for unified generation and understanding, building upon large language models. The model was introduced in May 2025. https://github.com/ByteDance-Seed/Bagel
    GitHub - ByteDance-Seed/Bagel: Open-source unified multimodal model
    github.com
    Open-source unified multimodal model. Contribute to ByteDance-Seed/Bagel development by creating an account on GitHub.
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  • Google I/O 2025 is scheduled for May 20-21, 2025. The conference will feature announcements and launches from Google, including updates on their latest AI models with a focus on accessibility, flexibility, privacy, and expanded multimodal capabilities on mobile devices. Additionally, the conference will likely include interactive elements, such as the 'I/O puzzle' that involves guiding light beams to solve challenges.

    https://io.google/2025

    #GoogleIO2025 #TechInnovation #FutureOfAI #MobileRevolution #AccessibilityMatters #PrivacyFirst #TechUpdates #AIForEveryone #DigitalTransformation #InnovationUnveiled #TechCommunity #MobileTech #AIUpdates #CuttingEdgeTech #StayCurious
    Google I/O 2025 is scheduled for May 20-21, 2025. The conference will feature announcements and launches from Google, including updates on their latest AI models with a focus on accessibility, flexibility, privacy, and expanded multimodal capabilities on mobile devices. Additionally, the conference will likely include interactive elements, such as the 'I/O puzzle' that involves guiding light beams to solve challenges. https://io.google/2025 #GoogleIO2025 #TechInnovation #FutureOfAI #MobileRevolution #AccessibilityMatters #PrivacyFirst #TechUpdates #AIForEveryone #DigitalTransformation #InnovationUnveiled #TechCommunity #MobileTech #AIUpdates #CuttingEdgeTech #StayCurious
    Google I/O 2025
    io.google
    Don't miss Google I/O, featuring product launches, innovations, and insights. Tune in for the live keynotes and sessions.
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