8 часов 3:27 Gemini Code Assist tools: Stay in the flow while coding
Tools for Gemini Code Assist → goo.gle/4fvbvZT Gemini Code Assist → goo.gle/3BfYUvU Stay in your workflow and never leave your IDE again.
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10.3
11 дней 4:02 How to create Looker Studio Reports in Looker
Using Studio in Looker→ goo.gle/4gxTwmP Enabling Studio in Looker → goo.gle/4fcABNi AI for BI Innovation Roadmap Webinar → goo.gle/3BqpbYk Studio in Looker brings the best
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11.1
12 дней 4:57 Your first workload with AI Hypercomputer
AI Hypercomputer → goo.gle/3OJDASw GitHub → goo.gle/3Yn5cRX Explore the AI Hypercomputer and discover how to build your own.
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10.6
13 дней 3:42 Deploy Gemma 2 with multiple LoRA adapters on GKE
Tutorial: Deploy Gemma 2 with multiple LoRA adapters using TGI on GKE → goo.gle/4f5KP1C Video: Train a LoRA adapter with your own dataset → goo.gle/4gkBLar Deep dive: A conceptual
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9.1
14 дней 5:15 Multimodal AI in action
GitHub workshop → goo.gle/multimodal_use_cases_workshop_lab Multimodal Models → goo.gle/498q4RD Long Context Window → goo.gle/496aFl1 What is multimodal AI?
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8.1
18 дней 0:45 How can developers prepare data for use in LLMs?
Create a system where you can effectively manage your LLM, the feedback, and improve the system for your use cases and users.
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7.8
18 дней 7:30 How to prepare data for LLMs
How can developers prepare data for usage in a large language model (LLM)? How can developers ensure sensitive data is not accidentally passed around?
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18 дней 13:38 Cloud migration insights from banking
Christian Gorke, VP and Head of Cyber Center of Excellence at Commerzbank, shares insights from their cloud migration journey, highlighting key lessons learned and practical advice for organizations
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19 дней 7:44 Introduction to grounding with Gemini on Vertex AI
Grounding overview | Google Cloud → goo.gle/3CPOnYq Try Vertex AI Search |
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8.7
20 дней 4:54 Fine-tuning open AI models using Hugging Face TRL
Tutorial: Fine-tune Gemma 2 with Hugging Face TRL on GKE → goo.gle/3ZcLQiL Hugging Face Deep Learning containers → goo.gle/3Otahn3 Docs: Hugging Face TRL → goo.gle/3ZgsyJs
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8.7
21 день 4:25 Run Hugging Face transformers on GPU enabled Cloud Run functions
See how to create a GPU enabled Cloud Run function that directly hosts a Gemma 2 2B model.
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21 день 4:14 Ollama and Cloud Run with GPUs
Get started with Cloud Run → goo.gle/4i5oGDB Ollama is the easiest way to get up and running on with large language models.
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9.6
21 день 5:35 Cloud Run functions with Gemma 2 and Ollama
Learn how to create a Cloud Run functions that talks to the Gemma 2 model hosted in the Ollama service.
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10.4
21 день 11:00 Running Diffusion with Cloud Run GPUs
See how quickly GPU support on Cloud Run scales up on demand with Stable Diffusion.
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21 день 5:28 Introduction to Gemini on Vertex AI
Getting started with Vertex AI Gemini 2.0 Flash → goo.gle/3D7UaZB Getting started with Vertex AI Gemini 1.5 Flash → goo.gle/4eZOL58 Getting started with Vertex AI Gemini 1.5 Pro →
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12.2
26 дней 0:54 How do I know my AI app is working?
You’ve built an AI application but now you don’t know how to evaluate if it is effectively working. How do developers know if their AI applications are working effectively?
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7.5
26 дней 8:49 How to evaluate AI applications
Vertex AI Evaluation Service Tutorial Notebooks → goo.gle/4i7vdxl How do developers know if their AI applications are working effectively? How can developers measure AI performance?
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10.5
27 дней 8:29 Choosing between self-hosted GKE and managed Vertex AI to host AI models
Read the blog post → goo.gle/3V41A6f Vertex AI or Google Kubernetes Engine? Which platform is the best fit for unleashing the power of LLMs in your applications? Find out in this video.
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12.1
27 дней 3:53 How to autoscale a TGI deployment on GKE
Tutorial: Configure autoscaling for TGI on GKE → goo.gle/3Z9a7WK Learn more about observability on GKE → goo.gle/4951bWY Hugging Face TGI (Text Generation Inference) →
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10.5
31 день 4:52 Looker Conversational Analytics
Conversational Analytics comes to Gemini → goo.gle/3Zh9sUt Query your data in natural language → goo.gle/3ARMNot Gemini in Looker → goo.gle/3ZgC1BC Unlock the power of your
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11.1
32 дня 0:50 RAG expansion for AI apps
The expansion of material from documents and text (RAG expansion) is a method that powers a lot of information retrieval systems today.
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10.8
32 дня 5:55 Using RAG expansion to improve model speed and accuracy
How Google Search serves pages → goo.gle/4fzNtOh Small to big rag (GitHub) → goo.gle/3ZgpcY1 Vertex AI embeddings and task types → goo.gle/40WFlTt Unlock the potential of
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10.4
32 дня 8:50 Protecting sensitive data in AI apps
Discover essential strategies for safeguarding sensitive data in AI applications on this episode of Serverless Expeditions.
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9.3
32 дня 9:21 Learn Hybrid Search with Vertex AI Vector Search
Notebook: Combining Semantic & Keyword Search: A Hybrid Search Tutorial with Vertex AI Vector Search → goo.gle/3YXW3zp Document: About hybrid search → goo.gle/40R9vrr Semantic
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9.7
33 дня 4:01 Deploy HUGS on GKE with Hugging Face
Getting started with HUGS on Google Cloud → goo.gle/3OhK8aL HUGS in the Google Cloud Marketplace → goo.gle/3ZbVPG6 Blog: Introducing HUGS → goo.gle/4eCs5Xl Deploy open
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10.6
38 дней 8:14 New "task type" embedding from the DeepMind team improves RAG search quality
Blog: Improve Gen AI Search with Vertex AI Embeddings and Task Types→ goo.gle/4equIeX Notebook: Using "task type" embeddings for improving RAG search quality→ goo.gle/4hlRtTO
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8.7
38 дней 5:05 GKE Gemma 2 deployment with Hugging Face
Tutorial: Serve Gemma on GKE with TGI → goo.gle/4fFKt2Q Learn more about TGI (text generation inference) from Hugging Face → goo.gle/4e7qusz Hugging Face Deep Learning containers for
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11.2
39 дней 0:43 What is an AI agent?
Dive into the world of AI agents in the latest episode of Real Terms for AI with Googlers Aja Hammerly and Jason Davenport.
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8.6
39 дней 6:10 Intro to AI agents
Vertex AI Agent Builder quickstart → goo.gle/3UPJ7dN GenAI powered App with Genkit → goo.gle/4fCSTrK Demystifying AI agents, Googlers Aja Hammerly and Jason Davenport provide a
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14.3
39 дней 11:39 RAG vs Model tuning vs Large prompt window
Take a dive into the three primary methods for integrating your data into AI applications: prompts with long context windows, Retrieval Augmented Generation (RAG), and model tuning.
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7.7