Imagine: Using deep learning to create your own image captioning models and use them to generate captions for images.
This Google Skills course can help make this a reality → https://t.co/NN51r5FnOh
Introducing Gemma 4 12B, our latest model designed to bring agentic multimodal intelligence directly to laptops!
Here’s what to ❤️ about Gemma 4 12B:
1. Novel unified architecture
2. Advanced reasoning
3. Laptop ready
4. Open and accessible
5. Drafter-ready
Ready for production? Deploy your way on Google Cloud via Gemini Enterprise Agent Platform, Cloud Run, or GKE. Learn more → https://t.co/PxV5m2hr43
On this week’s livestream, get a sneak peek of the upcoming 5-Day AI Agents: Intensive Vibe Coding Course in partnership with @kaggle. https://t.co/Xa3o9VP1Ut
@HarshalDhu72889 Hi Harshal, thanks for reaching out, we'll be happy to assist. Kindly shoot us a DM and let's continue the conversation there. -CF https://t.co/Y2QX7sdm8a
@davlatiyusupov@GeminiApp@googlecloud@davlatiyusupov Hey there, thank you for reaching out today! We're happy to lend you a hand. Please send us your email, billing account id/project # via DM, and let us know what exactly you want to achieve to assist you better. Looking forward to your message. Cheers! - GC https://t.co/Y2QX7sdm8a
On this week’s livestream, get a sneak peek of the upcoming 5-Day AI Agents: Intensive Vibe Coding Course With Google, in partnership with @kaggle.
Join us on June 3 at 9:30 AM PT for vibe coding workflows, building 10x agents, and a live Q&A → https://t.co/uq5Ac85NKE
Agent Executor is Google’s open-source runtime standard for agent execution, resumption, and distributed deployment with the following native capabilities:
- Durable execution
- Secure isolation
- Session consistency
+ more!
Learn how to get started → https://t.co/m22mT4L19a
Ready to go from vibe to live?
Sign up for @kaggle's 5-Day AI-intensive vibe coding course from June 15–19. Learn from Google experts through theory sessions, hands-on labs, a capstone challenge, and connect with a vibrant community.
Register now → https://t.co/d4bR7K9tEb
On this week’s livestream, get a sneak peek of the upcoming 5-Day AI Agents: Intensive Vibe Coding Course with Google, in partnership with @kaggle.
Join us on June 3 at 9:30 AM PT for vibe coding workflows, building 10x agents, and a live Q&A → https://t.co/6Roox9QYwR
This codelab provides the ultimate guide to Cloud Run: from zero to production.
Walk through the basics of getting started with Cloud Run + learn how to use features, including VPC access, Secret Manager, and ADK for AI agents hosted on Cloud Run → https://t.co/TGGfsXJwN3
Build production-ready full-stack apps with AI.
@madhavjha shares how @emergentlabs leverages GKE, Gemini, and automated evaluation systems to empower non-developers to deploy production-grade software in a weekend.
Watch the full interview → https://t.co/zM7C9hOYwp
Build locally and deploy securely to the cloud with Gemini Enterprise Agent Platform and our new developer tools shared at I/O.
Unpack the spectrum of choice for building, and see what we’d try first → https://t.co/QZPsggynZL
@bipink1 Hi there Bibo, thanks for tagging us! We'll be happy to lend you a hand. Please DM us your Google Cloud email, and let us know the support case number so we can check on this further. -LJ https://t.co/Y2QX7sdm8a
@ArmelYara Hi there! Glad you reach out today. We'll be happy to assist you. Could you please reach out to us via DM, so we can further look into this? -LV https://t.co/Y2QX7sdm8a
AI is a five-layer cake with an application, model, infrastructure, chip, and energy layer.
While most focus on agents, the biggest bottleneck down the line might actually be the energy layer.
Hear how @calebfoundry breaks down the full AI stack → https://t.co/wJ72PAwffM
Get an intro to the Transformer architecture and the BERT model.
Explore the components of the Transformer architecture and the tasks BERT can be used for, such as text classification, question answering, and natural language inference → https://t.co/zMXXc5hCsq
...predictable low latency: Virgo Network delivers 40% lower unloaded fabric latency for TPUs compared to previous generation leading to more predictable performance for latency sensitive AI workloads.