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Responsible AI in the Enterprise

You're reading from  Responsible AI in the Enterprise

Product type Book
Published in Jul 2023
Publisher Packt
ISBN-13 9781803230528
Pages 318 pages
Edition 1st Edition
Languages
Authors (2):
Adnan Masood Adnan Masood
Profile icon Adnan Masood
Heather Dawe Heather Dawe
Profile icon Heather Dawe
View More author details

Table of Contents (16) Chapters

Preface 1. Part 1: Bigot in the Machine – A Primer
2. Chapter 1: Explainable and Ethical AI Primer 3. Chapter 2: Algorithms Gone Wild 4. Part 2: Enterprise Risk Observability Model Governance
5. Chapter 3: Opening the Algorithmic Black Box 6. Chapter 4: Robust ML – Monitoring and Management 7. Chapter 5: Model Governance, Audit, and Compliance 8. Chapter 6: Enterprise Starter Kit for Fairness, Accountability, and Transparency 9. Part 3: Explainable AI in Action
10. Chapter 7: Interpretability Toolkits and Fairness Measures – AWS, GCP, Azure, and AIF 360 11. Chapter 8: Fairness in AI Systems with Microsoft Fairlearn 12. Chapter 9: Fairness Assessment and Bias Mitigation with Fairlearn and the Responsible AI Toolbox 13. Chapter 10: Foundational Models and Azure OpenAI 14. Index 15. Other Books You May Enjoy

Azure OpenAI Service models

Azure OpenAI offers a variety of models that are categorized into families based on their intended function. The available model families are listed in a table on the platform, though not all models are accessible in every region. Each model family consists of multiple models with different capabilities, which are denoted by their names. The order of these names alphabetically indicates the relative capabilities and costs of each model within a given family. For instance, the GPT-3 model family includes models such as Ada, Babbage, Curie, and Davinci, which are arranged in increasing order of capability and cost, with Davinci being the most advanced and expensive model.

It is important to note that even though most people have only heard of ChatGPT, or GPT-3, there are various notable generative AI models, including LLM and image generation models. It’s worth noting that the number of parameters is not the only metric to evaluate a model’...

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