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Responsible Generative AI and Local LLMs

Responsible Generative AI and Local LLMs

In this course, MLOps expert Noah Gift guides you through mastering the theory of Generative AI and using local LLMs like Mistral, llamafile, Candle, and Lorax. Learn about profit sharing concepts, the tragedy of the commons, and game theory as it relates to generative AI. Dive into perfect competition, negative externalities, and how to fine tune Mistral with Ludwig. Find out how to get started with llamafile and how to execute Hello World in Candle. Explore Rust and Candle, as well as how to transcribe audio with Whisper. Plus, learn how to use Rust for LLMs.

This course was created by Noah Gift. We are pleased to host this training in our library.

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  • Issuing Organization: LinkedIn Learning
  • Issue Date: August 23, 2024
  • Credential ID: 2e9a2015179d9d5b934802200084dda3d2689a4d09e6e04ecbb3df4b7701802b
  • Credential URL: Course Completed

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Responsible Generative AI and Local LLMs

Responsible Generative AI and Local LLMs

In this course, MLOps expert Noah Gift guides you through mastering the theory of Generative AI and using local LLMs like Mistral, llamafile, Candle, and Lorax. Learn about profit sharing concepts, the tragedy of the commons, and game theory.

Last Updated: August 26, 2024

About Shefik

Celebrating over 25 years in the entertainment industry, Shefik has held senior-level positions at many Fortune 500 companies and celebrated brands, including IBM, NBCUniversal, and MTV World. He currently serves as a Technical Lead at NBCUniversal. His work has been featured in television broadcasts and video productions for TIME, The Washington Center, "Unsung" (TV One), and Broadway World. He is currently the Executive Producer and Host of the nationally syndicated radio show "Shefik presents Invocation", which is broadcast on over 20 terrestrial radio stations and frequencies throughout the United States, as well as the internationally distributed video series of the same name via Prime Video and other notable outlets.

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