Generic AI? No thank you! ?? It's the fine-tuned models for me ??‍♂️
Here we use Vertex AI to fine tune an existing AI model. You can use this to leverage highly capable tools and tailor them specificlly for your business needs. #Gemini #AI #VertexAI
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Helping you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning....

Calling Cloud Run from C#

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♿ Building a more inclusive world with tech

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How Dataflow helps astronauts and you ?

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Dataflow for Real-time Log Replication and Analytics

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Generic AI? No thank you! ?? It's the fine-tuned models for me ??‍♂️

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Use AI to speed through repetitive tasks

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How to automate resource encryption with Cloud KMS Autokey

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Intelligent Search at scale with Spanner

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How can theme parks use AI?

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Safe RAG for LLMs

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Gemini for Developers - AlloyDB

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Is slow data holding you back?

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Dataflow for Real-time ETL and Integration

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Gemini + APIs = ⏱️?

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Encryption with Cloud KMS Keys

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Racing to the cloud with IoT

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Introduction to Google Cloud Backup and DR

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Supercharge your business with Dataflow

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Dataflow for Real-time ML and Generative AI

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Advice for devs new to AI

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How are senior developers using AI?

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AlloyDB - Columnar Engine in Action

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Build AI chat apps on Google Cloud

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? Ask your BigQuery questions with Gemini powered natural language

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Google Mainframe Modernization - Refactor for Batch

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Infrastructure as code

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Safety first with the Vertex AI Gemini API

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Enhancing GKE efficiency with Filestore multishares

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Multimodal AI

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Gemini 1.5 Flash: Unlock high-speed, affordable AI for your apps

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Enhancing SRE with Gemini for Google Cloud

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Gmail's Spanner Revolution - How Planet-Scale Infra Transformed Silently

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Datastream how-to: Recovering a failed stream

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Google Cloud Innovators

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Service-Centric Cross-Cloud Network demo - AWS and Google Cloud

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Getting started with Imagen 3

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Photorealistic images from Imagen 3

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VPC Firewall rules migration tool demo

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Making Vertex AI the most enterprise-ready generative AI platform

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Under the hood: Redefining vector search for generative AI application development

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Scale your applications with Cloud SQL for MySQL

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Accelerate analytics and semantic search in real-time with AlloyDB for PostgreSQL

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Best practices to maximize the availability of your Cloud SQL databases

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Migrate your Oracle/SQL server databases at-scale

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Real-time operational data streaming for enabling analytics and generative AI apps using Datastream

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Beyond PostgreSQL: Modernize your applications anywhere with AlloyDB Omni

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Migrate enterprise-grade workloads to Cloud SQL for SQL Server

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Generative AI application development best practices with Cloud SQL for PostgreSQL

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Build an AI marketing platform and support tools with HighLevel and Firestore

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Choose the right Google Cloud database for your workload

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Troubleshoot and improve code readability with Gemini Code Assist

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Claude 3.5 Sonnet meets Vertex AI: What you need to know

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Google Cloud NAT with NGFWs advanced demo

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Gemma 2: Unlock the power of open models

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Introducing Gemma 2 for developers and researchers

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Build beautiful and accessible webs pages quickly with Gemini Code Assist and Material Design

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How Gemini and LangChain can supercharge your time series data

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Choosing the right VM

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Vertex AI networking patterns - PSC & Google APIs demo

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AlloyDB trial clusters: your playground for PostgreSQL innovation

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How to prompt Gemini Code Assist

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Cross-Cloud Networking

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Cross-Cloud Networking: VPC Networking

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Simplified Google Cloud network security: Zero-trust and beyond

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Orchestrate generative AI with Workflows

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Troubleshoot cloud applications in the AI era

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Getting started with Gemini on Vertex AI

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Best practices to manage and automate on Compute Engine

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Two Sigma: Push computing research boundaries with Google Cloud

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Scalable advanced ML systems with Ray, Google Kubernetes Engine, and ML accelerators

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Confidential computing and confidential accelerators for AI workloads

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How to deploy programmable global front ends for internet-facing apps and content

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What’s next for data analytics in the AI era

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Accelerate AI ideas to production with Google’s Visual Blocks

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Better together: Google Kubernetes Engine threat detection powered by Security Command Center

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How Snapchat secures its services on multi-tenant Google Kubernetes Engine

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Google Cloud databases in the gen AI era

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Security, privacy, and governance considerations for using AI at scale

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Cross-Cloud Networking: Hybrid Connectivity

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Google Cloud launches Gemini 1.5 Flash!

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Data security with AI powered agents

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Hybrid Connectivity Networking with Google Cloud GKE Enterprise

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Integrate the Cloud Code plugin for API management into your development strategy

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Modern Edge AI experiences

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Introducing Oracle Database@Google Cloud

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Operationalize threat intelligence in Google Security Operations

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Grounding in Gemini with Vertex AI Search

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Google Cloud Logging 101 - How to manage log routing at scale

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Supercharge Your Streaming Data: AI/ML Made Easy with Beam and Dataflow

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Run your Next.js app on Cloud Run

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Cloud Run Principle of Least Privilege

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A day in the life of an engineer!

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Draw your website!

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How to deploy all the JavaScript frameworks to Cloud Run

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Use Gemini to build a web application from scratch on Google Cloud

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Grounding for Gemini with Vertex AI Search and DIY RAG

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Connect Gemini to real-world data using LangChain’s open-source capabilities

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Boost performance of Go applications with profile guided optimization

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Build generative AI agents with Vertex AI Agent Builder and Flutter

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What's new in Google Cloud and Google Workspace

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