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生成式人工智能 概念、工具和应用 对于数据专业人士.pdf
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生成式人工智能 概念、工具和应用 对于数据专业人士.pdf
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M I C ROS O F T D ATA & A I
Generative AI
Concepts, Tools, and Applications
for Data Professionals
Buck Woody
Applied Data Scientist, Microsoft
Generative AI is a branch of artificial intelligence that can create new data or content by learning from existing content. It has
applications in various domains such as text, image, audio, video, and code generation. In this session, you will learn how generative
AI works, its limitations, the main tools and processes you can use, and where you can use it to enhance your data estate and data
projects. You will also explore examples of how generative AI can help you with code generation, debugging, and optimization tasks.
This session is suitable for data professionals who have some familiarity with machine learning and want to learn more about the
potential and effective uses of generative AI.
This session is One part college lecture, one part history lesson, and one part career technology focus
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMA
TIO
N IN THIS PRESENTATION.
1
M I C R O S O F T D ATA & A I
Agenda
Introduction to AI and ML
Overview of NLP and GPT
Data Integration for AI and GPT
Q & A
- Introduction
- What is generative AI and why is it important for data professionals?
- What are the main types of generative AI models and techniques?
- What are the main challenges and limitations of generative AI?
- Generative AI for Text
- How to use natural language processing and natural language generation to create and manipulate text data
- Examples of text generation tasks such as summarization, paraphrasing, translation, and content creation
- Demo: Using a pre-trained generative model to generate text
- Generative AI for Code
- How to use code analysis and code synthesis to create and improve code data
- Examples of code generation tasks such as code completion, code documentation, code debugging, and code
optimization
- Demo: Using a pre-trained generative model to generate code
- Conclusion
- Summary of the main points and takeaways from the session
- Q&A and feedback from the audience
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMA
TIO
N IN THIS PRESENTATION.
2
M I C R O S O F T D ATA & A I
Framing
Our goals today:
Understand Generative AI in the Context
of AI History
Gain an overview of GPT processes and
designs
Learn how to use GPT in a Data Context
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMA
TIO
N IN THIS PRESENTATION.
3
M I C R O S O F T D ATA & A I
Introduction to AI
The progression of Artificial Intelligence
* Some great cheat-sheets for the concepts here - https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-
learning-deep-learning-big-data-science-pdf-f22dc900d2d7
Good overview - https://www.geeksforgeeks.org/artificial-intelligence-an-introduction/#
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMA
TIO
N IN THIS PRESENTATION.
4
M I C R O S O F T D ATA & A I
GPT Training Process
This image is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication
AI: Distinguished by input systems, any mathematical technique that mimics human behavior
ML: Using combinations of mathematical formulae to act over data, improving a prediction or classification from that data
DL: Using specialized layers of algorithms to train a model through the layers to create a prediction or classification
© Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMA
TIO
N IN THIS PRESENTATION.
5
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