Developing with Nondeterministic APIs

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Morten Rand-Hendriksen

27:17

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01 - Introduction

01 - Developing with nondeterministic APIs.mp4

01:01

02 - 1. Prompting for Consistency

01 - What is nondeterminism in AI APIs.mp4

02:27

02 - Prompting for consistency.mp4

01:18

03 - Giving the AI options to choose from.mp4

01:29

04 - Providing reference materials.mp4

01:11

03 - 2. Developing for Consistency

01 - Getting consistency in probablilistic systems.mp4

00:59

02 - Bringing the temperature down.mp4

02:12

03 - Bringing top-p down.mp4

01:44

04 - Setting a seed value.mp4

01:05

05 - Activating JSON output.mp4

02:09

06 - Using an advanced response template.mp4

01:09

07 - Using function calling.mp4

01:45

04 - 3. Strategies for Consistency at Scale

01 - Finding consistency at scale.mp4

00:56

02 - Creating a fine-tuned model.mp4

03:00

03 - Using a grounded fact source.mp4

01:31

04 - Using semantic cache for optimal performance.mp4

01:22

05 - Conclusion

01 - Using AI only when necessary.mp4

01:59

Description

AI APIs produce nondeterministic output meaning the same prompt may produce different results every time it’s run. This poses unique challenges to developers because traditional software development is based on the premise that systems produce consistent and therefore deterministic outputs. In this course you’ll learn strategies for how to mitigate these unique challenges to meld traditional software development with modern AI tools.

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REST API

API

Morten Rand-Hendriksen

Instructor's Courses

Since joining forces with lynda.com (now LinkedIn Learning) in 2010, I've 60+ published courses on WordPress, front end web design and development, and web standards, reaching hundreds of thousands of viewers from all over the world. I also contribute to the web community as a public speaker, author, educator, web developer, and design philosopher. I help the web make sense by helping people understand and get the most out of the web, and contribute to the debates about ownership and democratization of information, design philosophy, and the open web.

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.