Working with Models - Part 3 | Module 3

This course is for journalists who may have heard of generative AI before and would like to begin engaging with these technologies on a more practical basis, whether to be better prepared for the future of computing or to improve their data journalism practice with new capabilities made possible by machine learning.
Learn more at: dev-journalism...
No coding experience is necessary, nor will technical skills be assumed. Course videos will introduce all prerequisite skills at your pace, and we’ll make sure your computing environment is properly set up to download and run your own language models.
We’ll also provide you with plenty of exercises to practice the skills using your own data at your own pace. These exercises will be available asynchronously, and the instructor will be around to answer any questions you may have.
Through hands-on tutorials over the next four weeks, we want to help you get in-the-know by training you on practical applications and concepts integral to generative technologies. This course will introduce you to the machine learning domain by building up specific skills week over week, leaving you prepared for the next generation of generative AI applications and workflows only now entering newsrooms.
Goals
We will build up your AI expertise such that you will be able to participate in AI policy formulation and implementation in your organization. Finishing this course will allow you to:
Understand what generative AI is and is not
Be able to clearly articulate when and where to deploy generative AI technologies
Convert your data to formats suitable for language models
Learn the basics of prompt engineering
Embed your documents in a vector database to search through them with natural language
Quickly develop prototype workflows to assess potency