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BuildapplicationswithgenerativeAI
onGoogleCloud
Márton Kodok
Software Architect at REEA.net
June 13-14, 2024 Barcelona
1. Intro
2. Build with Gemini
3. What is Vertex AI?
4. Foundation Models + Model Garden
5. Multimodal use cases + Demo
6. Function calling with Gemini + Demo
Agenda
Build applications with generative AI on Google Cloud @martonkodok
● Google Developer Expert on Cloud technologies (2016→)
● Champion of Google Cloud Innovators program (2021→)
● Among the Top 3 romanians on Stackoverflow 206k reputation
● Crafting Cloud Architecture+ML backends at REEA.net
Articles: martonkodok.medium.com
Twitter: @martonkodok
Slideshare:martonkodok
StackOverflow: pentium10
GitHub: pentium10
Build applications with generative AI on Google Cloud @martonkodok
About me
“
@martonkodok
“ demo…
@martonkodok
@martonkodok
Gemini Extensions
@martonkodok
Getting results from Gmail
@martonkodok
list the top 10 incidents from email for service name "trademark", group results in table
@martonkodok
Sum my invoices
@martonkodok
find all emails from this year from Hidroelectrica that contain "factura" and list all invoice values
for this year, with dates, in a table, order by descending
@martonkodok
Build with
Gemini
Part #1
@martonkodok
Gemini comes in different sizes
Gemini 1.0 Pro
Multimodal reasoning across a
wide range of tasks
GA
Gemini 1.5 Flash
fastest, most cost-efficient
model yet for high volume tasks
GA
Gemini 1.5 Pro
Multimodal reasoning for longer
prompts, 1 million context
window
GA
1M
high volume 1000 (RPM),
lower latency and cost
1M
Large prompt,
1000+ pages of PDF
32K
Text, 16 images,
1 video
* May 2024 @martonkodok
A bit about pricing
For 1M tokens Gemini 1.5 Flash Llama 3 70B C3 Haiku GPT-4o
Input Token $0.35 - $0.70 $0.59 $0.25 $5.00
Output Token $1.05 - $2.10 $0.79 $1.25 $15.00
1 million tokens (for prompts up to 128K tokens | for prompts longer than 128K)
@martonkodok
Where to use
Build with Gemini
Google AI Studio
aistudio.google.com
- API key
- 60 QPM - free outside of EU
- Libraries in Python/Go/Node/Dart/Android
console.cloud.google.com
- service account key
- Vertex AI SDK
- LangChain integration + libraries
- access to 120 models via Model Garden
- available for individual/edu/business
Vertex AI Studio
“VertexAI is the Google Cloud product group for ML
End-to-end ML Platform
@martonkodok
Gen AI and Model Garden on Vertex AI @martonkodok
Google Cloud AI Portfolio
Foundation
Models
Vertex AI
End-to-End ML Platform
Text Chat Code Image
Video
Google Cloud Infrastructure - GPUs/TPUs
Contact Center AI Healthcare AI
Discovery AI
Document AI
Business Users
AI Practitioners
Developers
Audio and
Music
Vertex AI
Studio
Generative AI
APIs
Model Garden
Gemini Business
Google Workspace
Duet Al for
Google Cloud
AI Platform: Fine tuning | Distill | Serve
Vertex AI
+
Model Garden
Part #2
Build applications with generative AI on Google Cloud @martonkodok
Model Garden
Task Specific
AutoML and APIs
Open Source
Models
Foundation
Models
Model Garden
Build applications with generative AI on Google Cloud @martonkodok
Model Garden
Foundation Models
Multi-task Large-scale Minimal training
Build applications with generative AI on Google Cloud @martonkodok
Language Foundation Models
Gemini 1.0 Pro
Multimodal reasoning across a
wide range of tasks
Gemini 1.5 Flash
fastest, most cost-efficient
model yet for high volume tasks
Gemini 1.5 Pro
Multimodal reasoning for longer
prompts, 1 million context
window
Imagen 2
Generate images from
Text prompts
Multimodal
Embeddings
Extract semantic information
Chirp for
Speech to Text
Build voice enabled applications
Build applications with generative AI on Google Cloud @martonkodok
Introduction
Generative AI Studio
Console-tool Test generative models Rapid prototyping
Build applications with generative AI on Google Cloud @martonkodok
Generative AI Studio
Build applications with generative AI on Google Cloud @martonkodok
Custom language Prompt samples
1. Summarization
2. Classification
3. Extraction
4. Writing
5. Ideation
cloud.google.com/vertex-ai/docs/generative-ai/learn/prompt-samples
“ VertexAI
consoledemo
@martonkodok
Build applications with generative AI on Google Cloud @martonkodok
Prompt structure
1. Text:
2. Question:
3. Answer:
4. Categories:
5. Options:
Build applications with generative AI on Google Cloud @martonkodok
Best practices for the contextfield of your prompt
Part #3
Gemini
Multimodal
in action
Build applications with generative AI on Google Cloud @martonkodok
Introduction
Multi model
Image Video Text Function Calling
Build applications with generative AI on Google Cloud @martonkodok
Multi model use cases
1. Info seeking
2. Object recognition
3. Digital content understanding
4. Structured content generation
5. Captioning / description
6. Extrapolation
Build applications with generative AI on Google Cloud @martonkodok
Multi model use cases
“ demo…
@martonkodok
Build applications with generative AI on Google Cloud @martonkodok
Multimodal - Embeddings
Multi model - Embeddings
Image Video Text Audio
Build applications with generative AI on Google Cloud @martonkodok
Language Foundation Models
Gemini 1.0 Pro
Multimodal reasoning across a
wide range of tasks
Gemini 1.5 Flash
fastest, most cost-efficient
model yet for high volume tasks
Gemini 1.5 Pro
Multimodal reasoning for longer
prompts, 1 million context
window
Imagen 2
Generate images from
Text prompts
Multimodal
Embeddings
Extract semantic information
Chirp for
Speech to Text
Build voice enabled applications
Google Cloud Next ‘24 Proprietary
Joint Embedding
Vector Space
Image:
“gray tabby cat
laying in front of a
Christmas tree”
Text:
size color
living
Multimodal
embeddings
● Embed text, image, and video in the
same semantic space with the same
dimensionality
● Applications: image/video content
search, classification,
recommendation
035
Google Cloud Next ‘24 Proprietary
Resources
BQ Embedding Generation
Documentation | Blog | Video
BQ Vector Search
Documentation | Blog| LangChain
Demo Assets
BQ LangChain Notebook |
Gen AI Repo
Vector search and multimodal
embeddings in BigQuery
goo.gle/next24-ana302
“ Cloud Next’24 demo app in action
@martonkodok
Gemini
Function Calling
Part #4
Build applications with generative AI on Google Cloud @martonkodok
Function calling in Gemini
A framework to connect LLMs
to real-time data
delegate certain data processing tasks
to functions
cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling @martonkodok
Function calling in Gemini
Gen AI … repository
Build applications with generative AI on Google Cloud @martonkodok
@martonkodok
Sample code for GenAI on Google Cloud
goo.gle/gen-ai-github
Build applications with generative AI on Google Cloud @martonkodok
https://goo.gle/gen-ai-github -> Gemini folder
“ Functioncallingdemo…
@martonkodok
Part #5
Open-source
models
Build applications with generative AI on Google Cloud @martonkodok
Open Source models
Llama 2 on Vertex AI
Meta's Llama 2 models
on Vertex AI
Code Llama
Designed for general code synthesis and
understanding, designed for Python
Gemma 2B and 7B
Family of lightweight,
state-of-the-art open models
Claude on Vertex AI
Claude 2, Instant 1.2, and more
“ VertexAI enables model inference via API
Build applications with generative AI on Google Cloud @martonkodok
Build applications with generative AI on Google Cloud @martonkodok
VertexAI:Managed unified ML platform
Fine-tuning 1 click deploy
@martonkodok
Explore AI models with Colab samples
cloud.google.com/vertex-ai/docs/start/explore-models#test-promptsub
Conclusion
Build applications with generative AI on Google Cloud @martonkodok
1. Build with the groundbreaking ML tools that power Google
2. Model Garden provides a curated collection of 120+ models
3. Approachable from the non-ML developer perspective (managed models, fine-tuning training)
4. Accelerate ML with tooling for pre-trained, open source and custom models
5. Deploy to applications with just one-click
6. End-to-end integration for data and AI with build pipelines that outperform and solve complex ML tasks
Vertex AI: Enhanced ML developer experience
Build applications with generative AI on Google Cloud @martonkodok
Twitter: @martonkodok
Thank you. Q&A.
Reea.net - Integrated web solutions driven by creativity
to deliver projects.
Follow for articles:
martonkodok.medium.com
Slides available on:
slideshare.net/martonkodok

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Build applications with generative AI on Google Cloud

  • 2. 1. Intro 2. Build with Gemini 3. What is Vertex AI? 4. Foundation Models + Model Garden 5. Multimodal use cases + Demo 6. Function calling with Gemini + Demo Agenda Build applications with generative AI on Google Cloud @martonkodok
  • 3. ● Google Developer Expert on Cloud technologies (2016→) ● Champion of Google Cloud Innovators program (2021→) ● Among the Top 3 romanians on Stackoverflow 206k reputation ● Crafting Cloud Architecture+ML backends at REEA.net Articles: martonkodok.medium.com Twitter: @martonkodok Slideshare:martonkodok StackOverflow: pentium10 GitHub: pentium10 Build applications with generative AI on Google Cloud @martonkodok About me
  • 8. @martonkodok list the top 10 incidents from email for service name "trademark", group results in table
  • 10. @martonkodok find all emails from this year from Hidroelectrica that contain "factura" and list all invoice values for this year, with dates, in a table, order by descending
  • 12. @martonkodok Gemini comes in different sizes Gemini 1.0 Pro Multimodal reasoning across a wide range of tasks GA Gemini 1.5 Flash fastest, most cost-efficient model yet for high volume tasks GA Gemini 1.5 Pro Multimodal reasoning for longer prompts, 1 million context window GA 1M high volume 1000 (RPM), lower latency and cost 1M Large prompt, 1000+ pages of PDF 32K Text, 16 images, 1 video
  • 13. * May 2024 @martonkodok A bit about pricing For 1M tokens Gemini 1.5 Flash Llama 3 70B C3 Haiku GPT-4o Input Token $0.35 - $0.70 $0.59 $0.25 $5.00 Output Token $1.05 - $2.10 $0.79 $1.25 $15.00 1 million tokens (for prompts up to 128K tokens | for prompts longer than 128K)
  • 14. @martonkodok Where to use Build with Gemini Google AI Studio aistudio.google.com - API key - 60 QPM - free outside of EU - Libraries in Python/Go/Node/Dart/Android console.cloud.google.com - service account key - Vertex AI SDK - LangChain integration + libraries - access to 120 models via Model Garden - available for individual/edu/business Vertex AI Studio
  • 15. “VertexAI is the Google Cloud product group for ML End-to-end ML Platform @martonkodok
  • 16. Gen AI and Model Garden on Vertex AI @martonkodok Google Cloud AI Portfolio Foundation Models Vertex AI End-to-End ML Platform Text Chat Code Image Video Google Cloud Infrastructure - GPUs/TPUs Contact Center AI Healthcare AI Discovery AI Document AI Business Users AI Practitioners Developers Audio and Music Vertex AI Studio Generative AI APIs Model Garden Gemini Business Google Workspace Duet Al for Google Cloud AI Platform: Fine tuning | Distill | Serve
  • 18. Build applications with generative AI on Google Cloud @martonkodok Model Garden Task Specific AutoML and APIs Open Source Models Foundation Models Model Garden
  • 19. Build applications with generative AI on Google Cloud @martonkodok Model Garden Foundation Models Multi-task Large-scale Minimal training
  • 20. Build applications with generative AI on Google Cloud @martonkodok Language Foundation Models Gemini 1.0 Pro Multimodal reasoning across a wide range of tasks Gemini 1.5 Flash fastest, most cost-efficient model yet for high volume tasks Gemini 1.5 Pro Multimodal reasoning for longer prompts, 1 million context window Imagen 2 Generate images from Text prompts Multimodal Embeddings Extract semantic information Chirp for Speech to Text Build voice enabled applications
  • 21. Build applications with generative AI on Google Cloud @martonkodok Introduction Generative AI Studio Console-tool Test generative models Rapid prototyping
  • 22. Build applications with generative AI on Google Cloud @martonkodok Generative AI Studio
  • 23. Build applications with generative AI on Google Cloud @martonkodok Custom language Prompt samples 1. Summarization 2. Classification 3. Extraction 4. Writing 5. Ideation cloud.google.com/vertex-ai/docs/generative-ai/learn/prompt-samples
  • 25. Build applications with generative AI on Google Cloud @martonkodok Prompt structure 1. Text: 2. Question: 3. Answer: 4. Categories: 5. Options:
  • 26. Build applications with generative AI on Google Cloud @martonkodok Best practices for the contextfield of your prompt
  • 28. Build applications with generative AI on Google Cloud @martonkodok Introduction Multi model Image Video Text Function Calling
  • 29. Build applications with generative AI on Google Cloud @martonkodok Multi model use cases 1. Info seeking 2. Object recognition 3. Digital content understanding 4. Structured content generation 5. Captioning / description 6. Extrapolation
  • 30. Build applications with generative AI on Google Cloud @martonkodok Multi model use cases
  • 32. Build applications with generative AI on Google Cloud @martonkodok Multimodal - Embeddings Multi model - Embeddings Image Video Text Audio
  • 33. Build applications with generative AI on Google Cloud @martonkodok Language Foundation Models Gemini 1.0 Pro Multimodal reasoning across a wide range of tasks Gemini 1.5 Flash fastest, most cost-efficient model yet for high volume tasks Gemini 1.5 Pro Multimodal reasoning for longer prompts, 1 million context window Imagen 2 Generate images from Text prompts Multimodal Embeddings Extract semantic information Chirp for Speech to Text Build voice enabled applications
  • 34. Google Cloud Next ‘24 Proprietary Joint Embedding Vector Space Image: “gray tabby cat laying in front of a Christmas tree” Text: size color living Multimodal embeddings ● Embed text, image, and video in the same semantic space with the same dimensionality ● Applications: image/video content search, classification, recommendation
  • 35. 035 Google Cloud Next ‘24 Proprietary Resources BQ Embedding Generation Documentation | Blog | Video BQ Vector Search Documentation | Blog| LangChain Demo Assets BQ LangChain Notebook | Gen AI Repo Vector search and multimodal embeddings in BigQuery goo.gle/next24-ana302
  • 36. “ Cloud Next’24 demo app in action @martonkodok
  • 38. Build applications with generative AI on Google Cloud @martonkodok Function calling in Gemini A framework to connect LLMs to real-time data delegate certain data processing tasks to functions
  • 40. Gen AI … repository Build applications with generative AI on Google Cloud @martonkodok
  • 41. @martonkodok Sample code for GenAI on Google Cloud goo.gle/gen-ai-github
  • 42. Build applications with generative AI on Google Cloud @martonkodok https://goo.gle/gen-ai-github -> Gemini folder
  • 45. Build applications with generative AI on Google Cloud @martonkodok Open Source models Llama 2 on Vertex AI Meta's Llama 2 models on Vertex AI Code Llama Designed for general code synthesis and understanding, designed for Python Gemma 2B and 7B Family of lightweight, state-of-the-art open models Claude on Vertex AI Claude 2, Instant 1.2, and more
  • 46. “ VertexAI enables model inference via API Build applications with generative AI on Google Cloud @martonkodok
  • 47. Build applications with generative AI on Google Cloud @martonkodok VertexAI:Managed unified ML platform Fine-tuning 1 click deploy
  • 48. @martonkodok Explore AI models with Colab samples cloud.google.com/vertex-ai/docs/start/explore-models#test-promptsub
  • 49. Conclusion Build applications with generative AI on Google Cloud @martonkodok
  • 50. 1. Build with the groundbreaking ML tools that power Google 2. Model Garden provides a curated collection of 120+ models 3. Approachable from the non-ML developer perspective (managed models, fine-tuning training) 4. Accelerate ML with tooling for pre-trained, open source and custom models 5. Deploy to applications with just one-click 6. End-to-end integration for data and AI with build pipelines that outperform and solve complex ML tasks Vertex AI: Enhanced ML developer experience Build applications with generative AI on Google Cloud @martonkodok
  • 51. Twitter: @martonkodok Thank you. Q&A. Reea.net - Integrated web solutions driven by creativity to deliver projects. Follow for articles: martonkodok.medium.com Slides available on: slideshare.net/martonkodok