3 дня 5:30 Agentic AI: Workflows vs. agents
Building a research multi agent system → goo.gle/41TYswp Agent starter pack → goo.gle/4iZiz35 Human-in-the-Loop LangGraph app → goo.gle/4iyii7h What is agentic AI and how
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4 дня 2:10 Fine-tuning use cases
Discover the top 5 use cases for fine-tuning a foundation model. In this video, you'll learn how this powerful technique allows you to tailor pre-trained models to your specific needs.
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8 дней 7:05 Looker Reports: an end-to-end demo
Create a Looker Report → goo.gle/4b1FVCp Enable Studio in Looker → goo.gle/enabling-studio-in-looker This studio in looker demo walks you through the steps to use the integrated
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10 дней 5:44 Gemini 2.0 and the Gen AI SDK: A powerful duo
Join Head of Developer Skills & Community, Stephanie Wong, and Cloud GDE, Sam Witteveen, as they break down the power of Gemini 2.0 and the Google Cloud Gen AI SDK.
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10 дней 7:35 Kubernetes jobs for batch workload
Job is the fundamental building block for building a batch platform on Kubernetes. In this video Ali and Mofi go over basics of Job and some simple patterns of Job execution on Kubernetes on GKE.
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11 дней 0:44 Austin & Seattle- rsvp for our in-person events!
RSVP to confirm your spot! Join us for an immersive event designed to propel you to the forefront of AI development.
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11 дней 0:18 Level up your Google Colab notebooks
Make your Colab notebooks interactive and user-friendly with Forms and Widgets! Easily adjust parameters with sliders, trigger functions with buttons, and organize your outputs with grids and TabBars.
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11 дней 3:19 How to use widgets and forms in Google Colab
Notebook reference (forms) → goo.gle/3BTQ07i Notebook reference (widgets) → goo.gle/3UdIydg Discover how Google Colab's forms and widgets can transform your coding experience.
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15 дней 8:10 Build compelling data stories with Looker reports
Choosing effective visualizations→ goo.gle/3CTRj6W Accessibility→ goo.gle/3D3kpkd Looker Community→ goo.gle/3QjggM4 Learn a 7-step framework to turn raw data into compelling
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17 дней 8:35 Develop with Looker Extensions
Looker Marketplace → goo.gle/4i4u4WF Kitchen Sink extension → goo.gle/4k7Ogce Extension docs → goo.gle/4k8PyUj Build custom data web applications quickly on the Looker
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17 дней 3:10 Batch architecture in Kubernetes
In this video we look at how the architecture of a batch platform looks like on Kubernetes. Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
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18 дней 0:20 Take your AI projects further with Google AI Studio
Take your AI development further with advanced features for Google AI Studio.
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18 дней 2:48 Google AI Studio: Advanced features
Google AI Studio→ goo.gle/3NCInEx Unlock the full potential of Google AI Studio with this guide to its advanced features.
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19 дней 6:38 Develop with Looker Embedding
Embedding Looker video series → goo.gle/40ps1Fo Embed SDK demo → goo.gle/42iLMBe Embedding getting started docs → goo.gle/4hgbmuK Bring Looker content to where your
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19 дней 3:06 Grounding with Google Search: Build reliable AI with Google AI Studio
Try it out here → goo.gle/4kdfzSi Learn how to use Grounding with Google Search in Google AI Studio to create more relevant and reliable AI applications.
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22 дня 7:10 Streamline calculated fields with Gemini’s formula assistant
Connecting Data to Looker Studio → goo.gle/4b5s6mz What Formula Assistant can do → goo.gle/3ENYAWi Looker Community → goo.gle/3QjggM4 Learn how Gemini's AI Formula Assistant
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23 дня 7:52 How to develop with Looker Blocks
Cloud Cost Management Block → goo.gle/3PKlLmA Looker Blocks documentation → goo.gle/42fFpyB A Looker Block saves you time in modeling your data and gives you a great starting
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23 дня 1:00 🧠 Problem: Too much data for embedding? 🤯🧩 Solution: Chunk your data! ✂️
A core principal of RAG is to search through your data to use as an input for LLMs.
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24 дня 4:29 What is HPC and HTC?
HPC or High Performance Computing is a branch of computer science all about increasing the performance of computation.
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24 дня 6:22 Intro to developing with Looker and Looker Studio
Looker documentation → goo.gle/40BeQm9 Looker Studio documentation → goo.gle/40BeQm9 You need to adapt, customize, or extend Looker and Looker Studio to fulfill your business
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25 дней 0:21 Boost Keras performance with multi-backend and JAX
Want increased flexibility and performance for your Keras projects? Elevate your projects by migrating to multi-backend Keras with JAX.
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25 дней 3:33 How to migrate your Keras code to JAX
Keras migration guide → goo.gle/3AgHO06 Unlock the power of multi-backend Keras with this guide to migrate your existing code to leverage the power of JAX.
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30 дней 1:24 No-Fuss AI Database Connections with GenAI Toolbox
Building AI agents? Stop wrestling with databases! GenAI Toolbox connects your AI to databases including Postgres, AlloyDB, & Spanner with WAY less boilerplate.
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3.2
30 дней 0:55 What is NotebookLM?
Google NotebookLM is an AI tool for students, researchers, & professionals. Understand complex topics, ask questions, & get instant insights.
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31 день 1:25 Create a Artifact Registry Docker repository on Google Cloud
In this video we will set up a Docker repository in Google Cloud Artifact Registry to push our container images. Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
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31 день 9:52 Intro to multimodal RAG systems
More examples of RAG on Google Cloud → goo.gle/4ggR83f What is Retrieval-Augmented Generation (RAG) → goo.gle/3E6Z8X1 This video is an introduction to Multimodal
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31 день 0:46 Why should developers use Google AI Studio?
Google AI Studio is the fastest way to start building with Gemini, Google’s next generation family of multimodal generative AI models.
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32 дня 0:20 Google AI Studio: Your AI playground 🛝🦾
Want to build chatbots, analyze videos, or generate creative text for marketing? Google AI Studio is your playground for building with AI.
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32 дня 2:34 Google AI Studio for Beginners
Google AI Studio → goo.gle/3NCInEx Quickstart guide → goo.gle/3Y4isdK What is Google AI Studio and how does it work?
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36 дней 6:12 How to evaluate your Gen AI models with Vertex AI
Gen AI evaluation service overview → goo.gle/4jrdUIm Notebooks → goo.gle/4jC1bTw How to evaluate generated answers from RAG at scale on Vertex AI?
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12.1