Google cloud Study Jam 2023.pptx

G
Google cloud Study Jam 2023.pptx
Google cloud Study Jam 2023.pptx
Strap in, folks, and get ready to
buckle up because your host for
today is here to take you to the
world of the cloud. 🌥️🚀🌌
Narula Institute of technology
RAJ SAHA
Google DSC’23 Lead
What is
?
Google cloud Study Jam 2023.pptx
"Cloud computing: Where
the future takes shape
one virtual byte at a
time." ☁️💻
Narula Institute of Technology
Rajdip Bhattacharya
Google DSC’23 Cloud & DevOps Lead
And why do we need to host it?
“A computer program or device that provides a service to another
computer program and its user, also known as the client”
We host servers to make them publicly/privately available to other
servers/users. There are three ways of hosting servers-
● On premise
● Cloud
● Hybrid
So what is a server, after all?
Pros of on-premise
● Control over server hardware
● Security of data
● Low latency
But there are cons as well
● Capital expenditure: Companies need to make a capital investment
to set up the server beforehand.
● Estimation problems: There can be overestimation/underestimation
in hardware choice, thereby leading to cost issues.
● Scalability: You can not just add another server or remove servers as
you want to.
● Increased management cost: Professional IT people are required to
maintain and monitor the servers all the time. If any component needs
replacement, the company has to bear the cost.
● Risk of data loss: In case a server holding business data crashes,
entire data would be lost.
Introducing to you
Cloud
Computing
Cloud computing is the on-demand
delivery of IT resources over the
Internet with pay-as-you-go pricing.
Instead of buying, owning, and
maintaining physical data centres and
servers, you can access technology
services, such as computing power,
storage, and databases, on an as-needed
basis from a cloud provider.
—Amazon Web Services (AWS)
● Cost savings: Cloud uses the pay-as-you-go model, which means, we pay for only
what we use. This shifts us from capital expenditure (CapEx) to operational
expenditure (OpEx)
● No maintenance cost: The cloud providers are responsible for maintaining the
servers. Hence, we do not pay for it.
● Scalability and flexibility: We can provision more cloud resources or remove
them as and when needed.
● Data loss prevention: Cloud providers provides us with data backup and
recovery options so that we never lose our data.
Pros of cloud computing
Timeline of cloud computing
1960 1999 2002 2010
Introduction of
computers
Salesforce and VMWare
came into existence
Google App Engine was
launched
Emergence of the first
VM
1972 1977 1991 2008
The term “cloud” was
coined
The World Wide Web
was created
Amazon Web Services
(AWS) was launched
Microsoft Azure was
launched
Why switch to cloud computing?
● Cost reduction, flexibility, and reliability.
● Absolute control over resources.
● Out of the box support for AI, ML and
analytics.
● Increase team’s performance and
strategies.
● Support for remote workforce.
Kyu switch karna hai ?
When we think about using cloud computing, we would
want to know what best suits our purpose. These are
the three main models of cloud:
● Software as a service (SaaS)
● Platform as a service (PaaS)
● Infrastructure as a service (IaaS)
Different flavours of cloud
IaaS vs PaaS vs SaaS
vs On-Site
Well known cloud providers
Pricing in cloud computing
Now that we are familiar with cloud computing, we should also understand a bit
about the pricing model. Any major cloud provider charges their customers in the
following ways,
● Free tier
● Pay-as-you-go
● Full upfront
● Partial upfront
● No upfront
While free tier and pay-as-you-go might be a good choice for experimentation, for
the long run, reservation of your hardware is recommended.
Whatever the cloud provider might be, they provide a particular set of
tools that can be categorized as follows:
1. Compute
2. Storage
3. Database
4. Containers
5. Serverless
6. Security and IAM
7. Machine learning
8. Analytics
9. Cloud SDK
Product Categories
Certifications are the best way to showcase your skills. They not only prove your
knowledge, but also makes you stand out in the crowd. Certifications in cloud are of 3
kinds,
● Foundation: Gets you started with the cloud platform
● Associate: Gets you comfortable working in the platform
● Professional: Gets you covered up with security and best practices
Just a quick note. Although certifications are a good thing to pursue and
showcase, they are by no means the way to judge someone. Remember, you don’t
judge a book by its cover :)
Cloud certifications
😜 What do you call an AI that
tells jokes?
A "comedAIan"! 🎤🤣
Narula Institute Of Technology
Sambit Chakraborty
Google DSC’23 AI-ML Lead
ChatGPT use karte ho ????
🤣🤣🤣
PS: FOR SOLVING CODING PROBLEMS
Narula Institute of technology
Google cloud Study Jam 2023.pptx
Timeline of cloud computing
1951 2018 2020
From 2022
onwards
Noam Chomsky
publishes
Syntactic
Structures
1. FastText is
developed
2. OpenAI released
GPT-2
1. OpenAI released GPT-
3
2. Google released
LaMDA
1. Word2Vec is
developed
2. GloVe is developed
3. seq2seq based GRU
introduced
2013 & 2014 2015 2017 2021
Transformer model
developed;
Google Translate
improved
1. Generative
adversarial networks
(GANs) are developed;
2. GEN AI term coined
1. Google AI released
BERT
2. Meena Model got
founded by Google
Narula Institute of technology
What is Generative AI ????????.....
Generative AI is a Deep Learning Algorithm which
generates sequence of text, audio, image and synthetic
data, based on user input, known as prompt.
These are backed by Generative Model algorithm like
Naive Bayes etc and GANs.
Narula Institute of technology
Large Language Models (LLMs)
● LLMs are a special type of AI algorithm that trained on literally massive dataset
of text.
● Trained Using Strongly Supervised Dataset annotation technique.
● What kind of tasks it can perform??
- Generating texts, Translation, Question-Answer, Summarization, Creative
Content.
● Once your model is on its first version. Just finetune it. You’re ready to solve
multiple problems.
Example: Transformer, BERT, CTRL,
BLOOM, T5, RoBERTa etc..
Narula Institute of technology
Foundation Models (FMs)
● FMs are improved version of LLMs that trained on massive complex data which
mixes text, code, image, video, audio. Data scales time by time.
● Trained Using Self Supervise & Semi Supervise annotation technique.
● What kind of tasks it can perform??
- More diverse fine tasks than traditional LLMs
● Little effort needs to finetune the model
Example: GPT, LaMDA, PaLM, Pathways System,
Gopher, LLaMa, SeamlessM4T, Falcon,
Midjourney, Dall-E etc.
Narula Institute of technology
Narula Institute of technology
It’s a process of designing and crafting prompts to guide large
language models (LLMs) to generate the desired outputs.
Prompt Engineering
It is a crucial skill for anyone who wants to use LLMs effectively.
- It brings significant impact and improvement on the
quality of the output.
Tips:
1. Be clear and concise
2. Provide Context, assign role, variety of sentence structures, rules
3. Be specific and formal
4. Use examples, keywords
5. Avoid leading to bias, usage of slangs
Narula Institute of technology
POOR in WRITING SKILL??
🤮🤮
Narula Institute of technology
ChatGPT, BARD use karna
bandh kardo 🤮🤮
Narula Institute of technology
Enough is enough…no more definitions and…..NO MORE EMOTIONAL DAMAGE
Forget everything and let’s get into GOOGLE’S Inventory of GEN AI
is leader in this diverse field.
From introducing Transformer architecture which made
today’s GEN AI move possible for other orgs…to announcing
most versatile Language Model - PaLM, which actually
powerful than the GPT-4, when it SCALES
Narula Institute of technology
DUET AI
Elevate your working experience in Google Workspace
Gmail:
● Smart Compose
● Smart Reply
Google Docs:
● Smart Compose
● Idea Brainstorming
● Smart Rewrite
● Summarizer
Google Sheets:
● Smart Organizer
Google Slides:
● Custom Visuals
Google Meet:
● Portrait Restore
● Portrait Light
● Automated Transcription*
● Meeting Summary*
Google Space:
● Chat Summary
*Will be released later this year
Narula Institute of technology
Vertex AI got GEN AI essence
Vertex AI is a unified platform on GCP for building and deploying machine learning models.
Announced in Google I/O’23 event, Vertex AI now has Generative AI support.
- PaLM 2
- New Foundation Models
- Codey
- Imagen
- Chirp
- Generative AI Studio
- Gen App Builder
- Model Garden
- Embeddings API, RLHF
Narula Institute of technology
PaLM 2
Stands for Pathway Language Model v2, developed by Google AI, successor of original PaLM model.
Tasks it performs:
- Have literature excellency
- Generate Music
- Generate Code & Scripts
- Write Email and letters
- Question & Answer
- Text Summarization and information retrieval
- Creative Content
USP: Seamless translation of 100+ languages, AR & VR
integration support, Robust and Failsafe scaling by
surpassing the accuracy of GPT-4
Narula Institute of technology
Google cloud Study Jam 2023.pptx
Codey
Primarily targeted for Google Colab Integration. Based on PaLM 2 Model
Tasks it performs:
- Generating Code
- Analyzing and fixing errors
- Code Completion
- Improve code quality with uniqueness
USP: Natural Language dependency, 20+ Programming
language support efficiently, Smart Suggestion
Developed to rival with GPT powered Github Copilot
Narula Institute of technology
Imagen
Text-to-image diffusion model by Google AI. Primarily target for business.
Tasks it performs:
- High res image generation
- Product Image creation
- AR & VR integration
- Consistent Image generation with context
- Edit Images with generative filling
USP: AR-VR integration, consistency
Developed to rival with Midjourney, DALL-E, Firefly
Narula Institute of technology
Chirp
speech-to-text model by Google AI.
Tasks it performs:
- Speech Recognition & Analysis
- Voice assistant
- Live Captioning
- Live Translation
- Transcription
- Text-to-speech generation
USP: 100+ Language support, 98% Accuracy in English, Simultaneous
10 million distinct support of speakers, improved relative
Developed to rival with Whisper, Polly, SeamlessM4T
Jaane se pehle….last
topic…please🤣🤣
Narula Institute of technology
Project IDX
Narula Institute of Technology
Project IDX is a new browser-based
development experience built on
Google Cloud and powered by Codey.
Scan this QR to explore project IDX
Narula Institute of Technology
So long, farewell!
Just like AI, life is all
about continuous
learning and growth.
Take care! 🌱👋
Image generated by Imagen & DUET AI
Back to
Google cloud Study Jam 2023.pptx
Google cloud Study Jam 2023.pptx
Narula Institute Of Technology
Sawan Bhattacharya
Google DSC’23 Tech Lead
Unleashing the power of
the cloud Study Jam, one
question at a time. ☁️🌟
Your Cloud Facilitator
here.
Google cloud Study Jam 2023.pptx
Google cloud Study Jam 2023.pptx
Google cloud Study Jam 2023.pptx
Google cloud Study Jam 2023.pptx
Google cloud Study Jam 2023.pptx
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"Running students' code in isolation. The hard way", Yurii Holiuk "Running students' code in isolation. The hard way", Yurii Holiuk
"Running students' code in isolation. The hard way", Yurii Holiuk
Fwdays38 views

Google cloud Study Jam 2023.pptx

  • 3. Strap in, folks, and get ready to buckle up because your host for today is here to take you to the world of the cloud. 🌥️🚀🌌 Narula Institute of technology RAJ SAHA Google DSC’23 Lead
  • 6. "Cloud computing: Where the future takes shape one virtual byte at a time." ☁️💻 Narula Institute of Technology Rajdip Bhattacharya Google DSC’23 Cloud & DevOps Lead
  • 7. And why do we need to host it? “A computer program or device that provides a service to another computer program and its user, also known as the client” We host servers to make them publicly/privately available to other servers/users. There are three ways of hosting servers- ● On premise ● Cloud ● Hybrid So what is a server, after all?
  • 8. Pros of on-premise ● Control over server hardware ● Security of data ● Low latency
  • 9. But there are cons as well ● Capital expenditure: Companies need to make a capital investment to set up the server beforehand. ● Estimation problems: There can be overestimation/underestimation in hardware choice, thereby leading to cost issues. ● Scalability: You can not just add another server or remove servers as you want to. ● Increased management cost: Professional IT people are required to maintain and monitor the servers all the time. If any component needs replacement, the company has to bear the cost. ● Risk of data loss: In case a server holding business data crashes, entire data would be lost.
  • 11. Cloud computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing. Instead of buying, owning, and maintaining physical data centres and servers, you can access technology services, such as computing power, storage, and databases, on an as-needed basis from a cloud provider. —Amazon Web Services (AWS)
  • 12. ● Cost savings: Cloud uses the pay-as-you-go model, which means, we pay for only what we use. This shifts us from capital expenditure (CapEx) to operational expenditure (OpEx) ● No maintenance cost: The cloud providers are responsible for maintaining the servers. Hence, we do not pay for it. ● Scalability and flexibility: We can provision more cloud resources or remove them as and when needed. ● Data loss prevention: Cloud providers provides us with data backup and recovery options so that we never lose our data. Pros of cloud computing
  • 13. Timeline of cloud computing 1960 1999 2002 2010 Introduction of computers Salesforce and VMWare came into existence Google App Engine was launched Emergence of the first VM 1972 1977 1991 2008 The term “cloud” was coined The World Wide Web was created Amazon Web Services (AWS) was launched Microsoft Azure was launched
  • 14. Why switch to cloud computing? ● Cost reduction, flexibility, and reliability. ● Absolute control over resources. ● Out of the box support for AI, ML and analytics. ● Increase team’s performance and strategies. ● Support for remote workforce. Kyu switch karna hai ?
  • 15. When we think about using cloud computing, we would want to know what best suits our purpose. These are the three main models of cloud: ● Software as a service (SaaS) ● Platform as a service (PaaS) ● Infrastructure as a service (IaaS) Different flavours of cloud
  • 16. IaaS vs PaaS vs SaaS vs On-Site
  • 17. Well known cloud providers
  • 18. Pricing in cloud computing Now that we are familiar with cloud computing, we should also understand a bit about the pricing model. Any major cloud provider charges their customers in the following ways, ● Free tier ● Pay-as-you-go ● Full upfront ● Partial upfront ● No upfront While free tier and pay-as-you-go might be a good choice for experimentation, for the long run, reservation of your hardware is recommended.
  • 19. Whatever the cloud provider might be, they provide a particular set of tools that can be categorized as follows: 1. Compute 2. Storage 3. Database 4. Containers 5. Serverless 6. Security and IAM 7. Machine learning 8. Analytics 9. Cloud SDK Product Categories
  • 20. Certifications are the best way to showcase your skills. They not only prove your knowledge, but also makes you stand out in the crowd. Certifications in cloud are of 3 kinds, ● Foundation: Gets you started with the cloud platform ● Associate: Gets you comfortable working in the platform ● Professional: Gets you covered up with security and best practices Just a quick note. Although certifications are a good thing to pursue and showcase, they are by no means the way to judge someone. Remember, you don’t judge a book by its cover :) Cloud certifications
  • 21. 😜 What do you call an AI that tells jokes? A "comedAIan"! 🎤🤣 Narula Institute Of Technology Sambit Chakraborty Google DSC’23 AI-ML Lead
  • 22. ChatGPT use karte ho ???? 🤣🤣🤣 PS: FOR SOLVING CODING PROBLEMS Narula Institute of technology
  • 24. Timeline of cloud computing 1951 2018 2020 From 2022 onwards Noam Chomsky publishes Syntactic Structures 1. FastText is developed 2. OpenAI released GPT-2 1. OpenAI released GPT- 3 2. Google released LaMDA 1. Word2Vec is developed 2. GloVe is developed 3. seq2seq based GRU introduced 2013 & 2014 2015 2017 2021 Transformer model developed; Google Translate improved 1. Generative adversarial networks (GANs) are developed; 2. GEN AI term coined 1. Google AI released BERT 2. Meena Model got founded by Google Narula Institute of technology
  • 25. What is Generative AI ????????..... Generative AI is a Deep Learning Algorithm which generates sequence of text, audio, image and synthetic data, based on user input, known as prompt. These are backed by Generative Model algorithm like Naive Bayes etc and GANs. Narula Institute of technology
  • 26. Large Language Models (LLMs) ● LLMs are a special type of AI algorithm that trained on literally massive dataset of text. ● Trained Using Strongly Supervised Dataset annotation technique. ● What kind of tasks it can perform?? - Generating texts, Translation, Question-Answer, Summarization, Creative Content. ● Once your model is on its first version. Just finetune it. You’re ready to solve multiple problems. Example: Transformer, BERT, CTRL, BLOOM, T5, RoBERTa etc.. Narula Institute of technology
  • 27. Foundation Models (FMs) ● FMs are improved version of LLMs that trained on massive complex data which mixes text, code, image, video, audio. Data scales time by time. ● Trained Using Self Supervise & Semi Supervise annotation technique. ● What kind of tasks it can perform?? - More diverse fine tasks than traditional LLMs ● Little effort needs to finetune the model Example: GPT, LaMDA, PaLM, Pathways System, Gopher, LLaMa, SeamlessM4T, Falcon, Midjourney, Dall-E etc. Narula Institute of technology
  • 28. Narula Institute of technology
  • 29. It’s a process of designing and crafting prompts to guide large language models (LLMs) to generate the desired outputs. Prompt Engineering It is a crucial skill for anyone who wants to use LLMs effectively. - It brings significant impact and improvement on the quality of the output. Tips: 1. Be clear and concise 2. Provide Context, assign role, variety of sentence structures, rules 3. Be specific and formal 4. Use examples, keywords 5. Avoid leading to bias, usage of slangs Narula Institute of technology
  • 30. POOR in WRITING SKILL?? 🤮🤮 Narula Institute of technology
  • 31. ChatGPT, BARD use karna bandh kardo 🤮🤮 Narula Institute of technology
  • 32. Enough is enough…no more definitions and…..NO MORE EMOTIONAL DAMAGE Forget everything and let’s get into GOOGLE’S Inventory of GEN AI
  • 33. is leader in this diverse field. From introducing Transformer architecture which made today’s GEN AI move possible for other orgs…to announcing most versatile Language Model - PaLM, which actually powerful than the GPT-4, when it SCALES Narula Institute of technology
  • 34. DUET AI Elevate your working experience in Google Workspace Gmail: ● Smart Compose ● Smart Reply Google Docs: ● Smart Compose ● Idea Brainstorming ● Smart Rewrite ● Summarizer Google Sheets: ● Smart Organizer Google Slides: ● Custom Visuals Google Meet: ● Portrait Restore ● Portrait Light ● Automated Transcription* ● Meeting Summary* Google Space: ● Chat Summary *Will be released later this year Narula Institute of technology
  • 35. Vertex AI got GEN AI essence Vertex AI is a unified platform on GCP for building and deploying machine learning models. Announced in Google I/O’23 event, Vertex AI now has Generative AI support. - PaLM 2 - New Foundation Models - Codey - Imagen - Chirp - Generative AI Studio - Gen App Builder - Model Garden - Embeddings API, RLHF Narula Institute of technology
  • 36. PaLM 2 Stands for Pathway Language Model v2, developed by Google AI, successor of original PaLM model. Tasks it performs: - Have literature excellency - Generate Music - Generate Code & Scripts - Write Email and letters - Question & Answer - Text Summarization and information retrieval - Creative Content USP: Seamless translation of 100+ languages, AR & VR integration support, Robust and Failsafe scaling by surpassing the accuracy of GPT-4 Narula Institute of technology
  • 38. Codey Primarily targeted for Google Colab Integration. Based on PaLM 2 Model Tasks it performs: - Generating Code - Analyzing and fixing errors - Code Completion - Improve code quality with uniqueness USP: Natural Language dependency, 20+ Programming language support efficiently, Smart Suggestion Developed to rival with GPT powered Github Copilot Narula Institute of technology
  • 39. Imagen Text-to-image diffusion model by Google AI. Primarily target for business. Tasks it performs: - High res image generation - Product Image creation - AR & VR integration - Consistent Image generation with context - Edit Images with generative filling USP: AR-VR integration, consistency Developed to rival with Midjourney, DALL-E, Firefly Narula Institute of technology
  • 40. Chirp speech-to-text model by Google AI. Tasks it performs: - Speech Recognition & Analysis - Voice assistant - Live Captioning - Live Translation - Transcription - Text-to-speech generation USP: 100+ Language support, 98% Accuracy in English, Simultaneous 10 million distinct support of speakers, improved relative Developed to rival with Whisper, Polly, SeamlessM4T
  • 42. Project IDX Narula Institute of Technology Project IDX is a new browser-based development experience built on Google Cloud and powered by Codey. Scan this QR to explore project IDX
  • 43. Narula Institute of Technology So long, farewell! Just like AI, life is all about continuous learning and growth. Take care! 🌱👋 Image generated by Imagen & DUET AI
  • 47. Narula Institute Of Technology Sawan Bhattacharya Google DSC’23 Tech Lead Unleashing the power of the cloud Study Jam, one question at a time. ☁️🌟 Your Cloud Facilitator here.
  • 55. Narula Institute Of Technology Connect US