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Maisa Penha - Art of Possible.pdf

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Maisa Penha - Art of Possible.pdf

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Classified as Microsoft Confidential
Intro
Maisa Penha
Principal TPM
Azure OpenAI
www.linkedin.com/in/maisapenha
Art of the Possible: Visual Extraction and Reasoning
Input
Prompt
Completion
Can you explain this meme?
This meme is a joke that combines two unrelated things: pictures of the earth from space and chicken nuggets.
The text of the meme suggests that the image below is a beautiful picture of the earth from space. However, the image is
actually of chicken nuggets arranged to vaguely resemble a map of the world.
The humor in this meme comes from the unexpected juxtaposition of the text and the image. The text sets up an expectation of
a majestic image of the earth, but the image is actually something mundane and silly.
Art of the Possible: Web Page Design from a Visual
Input
Prompt
Completion
Art of the Possible: Visual Extraction and Reasoning
Input
Prompt
Completion
What are a couple meals I can make with this?
Based on the items visible in this fridge, here are a couple of meal ideas:
1) Yogurt parfait: Layer yogurt, strawberries and blueberries in a bowl or jar. Top with honey or nuts for added texture and
flavor.
2) Carrot and hummus wrap: Spread hummus on a tortilla or wrap. Top with shredded carrots and any desired veggies.
Roll up and enjoy!
Classified as Microsoft Confidential
Microsoft is powered by Azure AI
Applications Partner Solutions
Application Platform
AI Builder
Power BI Power Apps Power Automate Power Virtual Agents
Scenario-Based
Services
Bot Service Cognitive Search Document Intelligence Video Indexer Metrics Advisor Immersive Reader
Customizable AI
Models
Vision Speech Language Decision
Azure OpenAI
Service
ML Platform Azure Machine Learning
Classified as Microsoft Confidential
Microsoft and OpenAI partnership
Ensure that artificial
general intelligence
(AGI) benefits humanity
Empower every person
and organization on the
planet to achieve more
Azure OpenAI Service
GPT-4 &
GPT-3.5-Turbo
Text
Chat Completions
Conversation
DALL·E 2
Image
Whisper
Transcription &
Translation

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Maisa Penha - Art of Possible.pdf

  • 1. Classified as Microsoft Confidential Intro Maisa Penha Principal TPM Azure OpenAI www.linkedin.com/in/maisapenha
  • 2. Art of the Possible: Visual Extraction and Reasoning Input Prompt Completion Can you explain this meme? This meme is a joke that combines two unrelated things: pictures of the earth from space and chicken nuggets. The text of the meme suggests that the image below is a beautiful picture of the earth from space. However, the image is actually of chicken nuggets arranged to vaguely resemble a map of the world. The humor in this meme comes from the unexpected juxtaposition of the text and the image. The text sets up an expectation of a majestic image of the earth, but the image is actually something mundane and silly.
  • 3. Art of the Possible: Web Page Design from a Visual Input Prompt Completion
  • 4. Art of the Possible: Visual Extraction and Reasoning Input Prompt Completion What are a couple meals I can make with this? Based on the items visible in this fridge, here are a couple of meal ideas: 1) Yogurt parfait: Layer yogurt, strawberries and blueberries in a bowl or jar. Top with honey or nuts for added texture and flavor. 2) Carrot and hummus wrap: Spread hummus on a tortilla or wrap. Top with shredded carrots and any desired veggies. Roll up and enjoy!
  • 5. Classified as Microsoft Confidential Microsoft is powered by Azure AI Applications Partner Solutions Application Platform AI Builder Power BI Power Apps Power Automate Power Virtual Agents Scenario-Based Services Bot Service Cognitive Search Document Intelligence Video Indexer Metrics Advisor Immersive Reader Customizable AI Models Vision Speech Language Decision Azure OpenAI Service ML Platform Azure Machine Learning
  • 6. Classified as Microsoft Confidential Microsoft and OpenAI partnership Ensure that artificial general intelligence (AGI) benefits humanity Empower every person and organization on the planet to achieve more Azure OpenAI Service GPT-4 & GPT-3.5-Turbo Text Chat Completions Conversation DALL·E 2 Image Whisper Transcription & Translation
  • 7. Artificial Intelligence 1956 Artificial Intelligence the field of computer science that seeks to create intelligent machines that can replicate or exceed human intelligence Machine Learning 1997 Machine Learning subset of AI that enables machines to learn from existing data and improve upon that data to make decisions or predictions Deep Learning 2017 Deep Learning a machine learning technique in which layers of neural networks are used to process data and make decisions Generative AI 2021 Generative AI Create new written, visual, and auditory content given prompts or existing data.
  • 8. Foundation Models Training Data Text Images Speech Structured Data 3d Signals Tasks Question and Answering Sentiment Analysis Information Extraction Image Captioning Object Recognition Training Adaptation Foundation Model Instruction Follow Transformer Model Code Generation Code Understanding
  • 9. DALL·E GPT-3.5-Turbo GPT-4 Generative Text Models, with varying capabilities and uses Generative Image Model Azure OpenAI Service Provisioned throughput model Functions and Plugins Deploy on your own data
  • 10. What is Prompt Engineering?  Prompt engineering is a concept in Natural Language Processing (NLP) that involves embedding descriptions of tasks in input to prompt the model to output the desired results.  Prompt typically includes problem descriptions, instructions on how to solve the problem, and examples of correct problem and solution pairs.
  • 11. Azure OpenAI | GPT Ideate, Experiment and Fine-Tuning Iterate on ideas with a general-purpose text-in/text-out interface Prompt Summarize game commentary into highlights: Shey Peddy is applying ball pressure at the top against Sabrina Ionescu. At 7:48 remaining in the quarter; Peddy What are the main highlights of the game so far? Sample response The game has been close with Phoenix leading New York 7-5. Shey Peddy has been key for Phoenix. Prompt Turn game commentary into highlights: Commentary: What a pickup she has Main highlights: New York has domina ### Commentary: 1. Turner is so important defensively to 2. Griner pulled way out, Hartley with 3. At 1:54 remaining in the quarter, Pho Examples Inputs Sample response Main highlights: 1. New York has had a strong run in the 2. Phoenix leading by 1 point, 24-23 3. New York Liberty's comeback has be Results Prompt and completion examples Custom-tuning "hyperparams": { "batch_size": 4, "learning_rate_multiplier": 0.1, "n_epochs": 4, "prompt_loss_weight": 0.1, "use_packing": true } Refine with examples (‘few shot learning’) with a simple UX Optimize accuracy and latency to validate proof of concept fast Azure OpenAI Service
  • 12. What is Fine-Tuning? Fine-tuning is a way of utilizing transfer learning. Specifically, fine-tuning is a process that takes a model that has already been trained and tune it using a labeled dataset for a specific task. Fine-tuning results in a new model being generated with updated weights and biases. This contrasts with few-shot learning in which model weights and biases are not updated. To fine-tune a model, you'll need a set of training examples that each consist of a single input ("prompt") and its associated output ("completion").
  • 13. Reduce Hallucination using Prompt Engineering Include Include instructions of requesting the model not to make up stuff but stay with facts. Restrict Restrict the output (e.g., choose from a confined list instead of generating free form strings) Add Add Chain of Thought style of instruction, "Solve the problem step by step." Repeat Repeat most important instructions in the prompt a couple of times. Position Position most important instructions in the last.
  • 14. Prompt Engineering Guide 1. Give clearer instructions 2. Split complex tasks into simpler subtasks 3. Structure the instruction to keep the model on task 4. Prompt the model to explain before answering 5. Ask for justifications of many possible answers, and then synthesize 6. Generate many outputs, and then use the model to pick the best one 7. Custom-tune custom models to maximize performance
  • 15. Classified as Microsoft Confidential Retrieval Augmented Generation Grounding for intelligent applications App UX Orchestrator Azure OpenAI Service Azure Cognitive Search Data Sources (files, databases, etc.) Query → Knowledge Prompt + Knowledge → Response Transform into Embeddings -2, -1 , 0, 1 2, 3, 4, 5 6, 7, 8, 9
  • 16. Classified as Microsoft Confidential Retrieval Augmented Generation Example: Bring your data to the prompt Prompt You are an intelligent assistant helping Contoso, Inc. employees with questions about their healthcare plan as well as the employee handbook. Answer the following question using only the data provided in the sources below. Question: Does my health plan cover annual eye exams? Sources: 1. Northwind Health Plus offers coverage for vision exams, glasses, and contact lenses, as well as dental exams, cleanings, and fillings. 2. Northwind Standard only offers coverage for vision exams and glasses. 3. Both plans offer coverage for vision and dental services. Response Based on the provided information, it can be determined that both health plans offered by Northwind Health Plus and Northwind Standard provide coverage for vision exams. Therefore, your health plan should cover annual eye exams. Text input that provides some framing as to how the engine should behave User provided question that needs to be answered Sources used to answer the question
  • 17. Classified as Microsoft Confidential Introduction to top use cases Business Problem Productivity is lagging Need for process Automation Degraded Customer Experience Creating Content is Time Consuming Business Needs Increase Productivity Automate Processes Improve Customer Experience Build Creative Content Solutions • Conversational Search/Knowledge Insights • Code Generation and Documentation • Trend Forecasting • Report Summarization & Generation • Document Processing • Workflow Management • Fraud Detection • Supply Chain Optimization • Intelligent Contact Center • Agent/Employee Assistance • Virtual Assistance • Call Analytics • Call Summarization • Marketing/Sales Content Generation • Personalized Content Generation • Product Design & Development • Digital Art What can Generative AI Do? Generate New Revenue Streams Deliver Differentiated Customer Experiences Modernize Internal Processes
  • 18. Classified as Microsoft Confidential • Private Data Access​ • Prompt Engineering​ • Performance and Evaluation​ • Versioning and Reproducibility​ • AI Safety Production Demo • Prompt Engineering process need for a streamlined approach • Prompt engineering is iterative and challenging, involving several steps Data preparation Crafting tailored prompts Executing prompts using the LLM API Evaluate the generated content Optimization in iteration Production design, finetune, evaluation, refinement, and versioning Challenges from Demo to Production
  • 19. Classified as Microsoft Confidential AzureML's Prompt Flow Capabilities Overview • Develop workflows • Develop flows that connect to various language models, external data sources, tools, and customer codes​… • Test and Evaluate • Test with large dataset in parallel. • Evaluate the AI quality of the workflows with metrics: • performance, groundedness , accuracy… • Prompt Tuning • Easy prompt tuning​ with variants and versions. • Compare and Deploy • Visually compare cross experiments. • One click deploy a workflow to endpoint and test apps​.
  • 20. Classified as Microsoft Confidential Features and Benefits ✓ Experimentation Platform​ ✓ Optimized for tuning and iterating LLM empowered workflow​ Evaluate Bulk Test Flow Tune Deploy Dataset