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Cloud AI GenAI Overview.pptx

Now is the time to unravel the mysteries of cloud computing. The speaker is going to brief about Generative AI in the session that is related to study Jams 2023

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Cloud AIGenAI Overview
SepĞ
ember - OcĞ
ober 2023
Romin Irani,
Developer Advocate, Google Cloud
Proprietary +Confidential
Prompt Design is tricky
The art and science of figuring out what text to feed
your language model to get it to take on the
behavior you want.
Table of Contents
Primer on LLM and Generative AI
What are Google’s offerings?
01
02
03
04
PRIMERON LARGE
LANGUAGE MODELS
& GENERATIVE AI
We’re in anAI-driven revolution
Source: AI: Recent Trends and Applications, Emerging Communication and Computing
Steam Power
1784
Electricity
1870
Information
Technology
1969
Artificial Intelligence
Today
AI
Proprietary +Confidential
NLP Evolution
What’s the noun in
this sentence?
What’s the invoice
amount?
Extraction
LLMs portend both quantitative and qualitative jumps in AI
capabilities
Conversational AI
Write an essay
Write some code
Generation
Translate this text to
Korean
Summarize this
document
Transformation
Are these the same
things?
Is the invoice vendor
recognized?
Matching
LLMs improve performance on
“classical NL” use cases
LLMs increasingly enable
new use cases.
Is the sentence’s
sentiment positive?
Is this an invoice?
Classification

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Cloud AI GenAI Overview.pptx

  • 1. Cloud AIGenAI Overview SepĞ ember - OcĞ ober 2023 Romin Irani, Developer Advocate, Google Cloud
  • 2. Proprietary +Confidential Prompt Design is tricky The art and science of figuring out what text to feed your language model to get it to take on the behavior you want.
  • 3. Table of Contents Primer on LLM and Generative AI What are Google’s offerings? 01 02 03 04
  • 5. We’re in anAI-driven revolution Source: AI: Recent Trends and Applications, Emerging Communication and Computing Steam Power 1784 Electricity 1870 Information Technology 1969 Artificial Intelligence Today AI
  • 6. Proprietary +Confidential NLP Evolution What’s the noun in this sentence? What’s the invoice amount? Extraction LLMs portend both quantitative and qualitative jumps in AI capabilities Conversational AI Write an essay Write some code Generation Translate this text to Korean Summarize this document Transformation Are these the same things? Is the invoice vendor recognized? Matching LLMs improve performance on “classical NL” use cases LLMs increasingly enable new use cases. Is the sentence’s sentiment positive? Is this an invoice? Classification
  • 7. This revolution started at Google Responsible AIat the foundation Google invents Transformer kickstarting LLM revolution Google’s groundbreaking large language model, BERT AlphaFold predicts structures of all known proteins Text-to-Text Transfer Transformer LLM 10B P model open sourced Google LaMDA model trained to converse Google PaLM single model to generalize across domains A conversational AI Service powered by LaMDA.
  • 8. Proprietary +Confidential What is a Large Language Model?
  • 9. Traditional programming Wave of neural networks ~2012 Cat: type: animal legs: 4 ears: 2 fur: yes likes: yarn, catnip (etc …) This is a cat. This is not a cat. Is this a cat? Yes So, you’ve learned about cats and millions of other concepts …what’s a cat? Proprietary +Confidential Go read this huuuuuuge pile of books. A cat is … Generative language models LaMDA, PaLM, GPT-3, etc.
  • 10. Proprietary +Confidential First, some vocab Generative Model: An ML model that produces content, including language, code, imagery, music, video, etc. Large Language Model: machine learning models that are really good at understanding and generating human language. Large refers to both size and complexity of the neural network itself, as well as the size of the dataset it was trained on. Can also be used for non-generative language tasks (eg classification) Transformer: The neural network architecture underlying most of today’s generative models (and, more widely, most SOTA ML models). Published by Google in 2017.
  • 11. Proprietary +Confidential What is a language model? [...] [...] [...] honesty [...] the is best [...] approach ... way Most likely next word Next most likely next word Less likely next words policy
  • 12. Proprietary +Confidential Prompt: the text you feed to your model Prompt Design: The art and science of figuring out what text to feed your language model to get it to take on the behavior you want.
  • 13. Proprietary +Confidential What is a language model? Write a poem about Cricket Cricket, oh cricket, game of my heart, Where legends are born and dreams start. With bat and ball, we play as one, Under the sun, until the day is done. From the village green to the grandest stage, Cricket unites us, age after age. With every run, we cheer and shout, As our heroes make us proud. … Zero-shot
  • 14. Proprietary +Confidential Give examples Convert from english to french. peppermint : menthe poivrée desert cactus : cactus du désert potato : pomme de terre onion : … Few-shot
  • 15. Proprietary +Confidential Give examples Convert from english to french. peppermint : menthe poivrée desert cactus : cactus du désert potato : pomme de terre onion : oignon Few-shot
  • 16. Proprietary +Confidential Give examples Convert from english to french. peppermint : menthe poivrée desert cactus : cactus du désert potato : pomme de terre {$USER_INPUT}: Few-shot
  • 17. Proprietary +Confidential Give examples Convert Python to Javascript. Python: print("hello world") Javascript: console.log("hello world") Python: for x in range(0, 100): Javascript: Few-shot
  • 18. Proprietary +Confidential Give examples Convert Python to Javascript. Python: print("hello world") Javascript: console.log("hello world") Python: for x in range(0, 100): Javascript: Few-shot INSTRUCTIO N
  • 19. Proprietary +Confidential Give examples Convert Python to Javascript. Python: print("hello world") Javascript: console.log("hello world") Python: for x in range(0, 100): Javascript: Few-shot EXAMPL E
  • 20. Proprietary +Confidential Give examples Convert Python to Javascript. Python: print("hello world") Javascript: console.log("hello world") Python: for x in range(0, 100): Javascript: Few-shot INPU T
  • 21. Proprietary +Confidential Give examples Convert Python to Javascript. Python: print("hello world") Javascript: console.log("hello world") Python: for x in range(0, 100): Javascript: Few-shot nudge the LLM to output javascript
  • 22. Proprietary +Confidential Give examples Convert Python to Javascript. Python: print("hello world") Javascript: console.log("hello world") Python: for x in range(0, 100): Javascript:for (var x = 0; x < 100; x++) Few-shot
  • 23. Proprietary +Confidential Give examples Convert Python to Javascript. Python: print("hello world") Javascript: console.log("hello world") Python: {$USER_INPUT} Javascript: Few-shot
  • 24. Proprietary +Confidential What is a language model? User : Who are you? Bot: I am Sachin Tendulkar, the famous cricketer and the best batsman the world has seen. User: Where do you live? Bot: I live in Mumbai. User: What do you currently do? Bot: … Dialog
  • 25. Proprietary +Confidential What is a language model? User : Who are you? Bot: I am Sachin Tendulkar, the famous cricketer and the best batsman the world has seen. User: Where do you live? Bot: I live in Mumbai. User: What do you currently do? Bot: … Dialog Prompt
  • 26. Proprietary +Confidential Customizing Chat User : Who are you? Bot: I am Sachin Tendulkar, the famous cricketer and the best batsman the world has seen. User: Where do you live? Bot: I live in Mumbai. User: {USER_INPUT} Bot: I am currently retired from cricket, but I am still involved in the game as a mentor and ambassador. Dialog Prompt
  • 27. Proprietary +Confidential Prompt Design is tricky The art and science of figuring out what text to feed your language model to get it to take on the behavior you want.
  • 28. Proprietary +Confidential A few observations: 1. LLMs are designed to predict the next word in a sequence. They are not required to be “truthful” when doing so. 2. LLMs can generate plausible-looking statements that are irrelevant or factually incorrect. 3. Hallucinations: LLM’s can generate false statements.
  • 29. Proprietary +Confidential What is an LLM? [...] [...] [...] honesty [...] the is best [...] approach ... way Most likely next word Next most likely next word Less likely next words policy
  • 30. What are large language models? ML algorithms that can recognize, predict, and generate human languages Pre-trained on petabyte scale text-based datasets resulting in large models with 10s to 100s of billions of parameters LLMs are normally pre-trained on a large corpus of text followed by fine-tuning on a specific task Go read this huuuuuuge pile of books. So, you’ve learned about cats and millions of other concepts …what’s a cat? A cat is a small, domesticated carnivorous mammal. Generative language models LaMDA, PaLM, GPT-3, etc. LLMs can also be called Large Models (includes all types of data modality) and Generative AI (a model that produces content)
  • 31. Proprietary +Confidential LLM applications in industry Customer Support ● Interactive Humanlike Chatbots ● Conversation summarization for agents ● Sentiment Analysis and Entity extraction Technology ● Generating Code Snippets from description ● Code Translation between languages ● Auto Generated Documentation from Code Financial Services ● Auto-generated summary of documents ● Entity Extraction from KYC documents HealthCare ● Domain specific entity extraction ● Case documentation summary Retail ● Generating product descriptions Media and Gaming ● Designing game storylines, scripts ● Auto Generated blogs, articles, and tweets ● Grammar Correction and text-formatting
  • 32. Proprietary +Confidential Traditional ML Dev ● Needs 1000+ training examples to get started ● Needs ML expertise (probably) ● Needs compute time +hardware ● Thinks about minimizing a loss function ● Needs 0 training examples* ● Does not need ML expertise* ● Does not need to train a model* ● Thinks about prompt design LLM Dev *T o get started
  • 34. Consumers & enterprises have different needs…. Plan a 3 day trip to Patagonia Create a valentine poem. A picture of a panda playing yahtzee How to make GF pancakes? Iwant to write a novel. How do Iget started? Create a jazz song for a bday card How do we control our data How do we deal with fraud &security We need to be accurate & explainable How do we integrate our existing data & applications How will we control costs? Bard +MakerSuite VertexAI +Duet AI Consumers Enterprises
  • 35. Google’s research drives a family of models PaLM 2 Across many modaliīies….Texī, Code,Image, Dialogue, Mulīimodal….. Foundation Model Families Codey Imagen That power experiences for all users Consumer /Hobbyist Experiences Bard MakerSuite Enterprise Experiences AI Builder Experiences VertexAI Generative AIApp Builder Med-PaLM 2 Sec-PaLM ● Unicorn ● Bison ● Otter ● Gecko Animal indicates size Numbers indicate version 001-> 002 Signifies refresh Models for AI Builders Example: PALM API’s Model: text-bison-001 Powers In-console Code &Chat Assistance SecurityAIWorkbench
  • 36. Foundation Models VertexAI End-to-End ML Platform Generative Al App Builder Text Chat Code Image Video Google Cloud Infrastructure - GPUs/TPUs Contact Center AI Healthcare AI Discovery AI Document AI Conversation AI Enterprise Search Foundation Models Business Users AI Practitioners Developers Audio and Music Generative AI Studio Generative AI APIs Model Garden Cloud AI Portfolio To support the needs of Generative AI centric enterprise development Duet Al for Google Workspace Duet Al for Google Cloud
  • 37. Duet AIfor Google Workspace Enterprise Helps you write in Gmail and Docs Duet AI works behind the scenes to help you write — whether it’s refining existing work or helping you get started Helps you visualize in Slides With Duet AI, you can easily create images for presentations and meetings from a simple prompt Helps you organize in Sheets Duet AI is here to help you organize, classify and analyze your data faster than ever before Helps you connect in Meet Duet AI helps you look and sound your best on video calls so you can focus on the conversation
  • 38. Foundation Models Across a variety of model sizes to address use cases Embeddings APIfor Text and Image Extract semantic information from unstructured data PaLM for Text Custom language tasks Chirp for Speech to Text Build voice enabled applications PaLM for Chat Multi-turn conversations with session context Codey for Code Generation Improve coding and debugging Now in GA Allowlist Imagen for Text to Image Create and edit images from simple prompts Now in GA Now in GA Now in GA Now in GA Now in GA