Responsible Generative AI and Local LLMs

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Noah Gift

1:47:58

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01 - 1. Responsible Generative AI and Local LLMs

01 - Coding ELO in Python.mp4

04:07

02 - Coding ELO in Rust.mp4

03:49

03 - Coding ELO in R.mp4

03:31

04 - Coding ELO in Julia.mp4

03:05

05 - Profit sharing concepts.mp4

05:40

06 - Tragedy of the commons.mp4

04:00

07 - Deploying LLMs with Lorax and SkyPilot.mp4

03:56

08 - Fine-tune Mistral and Ludwig.mp4

03:22

09 - Game theory in generative AI.mp4

04:45

10 - Perfect competition.mp4

02:45

11 - Negative externalities.mp4

03:23

12 - Regulatory entrepreneurship.mp4

04:18

13 - Creating reinforcement bias.mp4

03:59

14 - Getting started with Mozilla llamafile.mp4

03:36

15 - Developing cosmopolitan.mp4

04:29

16 - Building blocks for generative AI with whisper.cpp.mp4

02:53

17 - Transcribing with Whisper.mp4

02:56

18 - Portable phrase CLI.mp4

03:34

19 - Candle hello world.mp4

02:56

20 - Exploring StarCoder in Rust.mp4

05:54

21 - Whisper Candle transcriber.mp4

05:51

22 - Local system metrics.mp4

03:04

23 - Exploring remote development on AWS.mp4

02:15

24 - Rust for large language models (LLMs).mp4

02:00

25 - The continuous build binary.mp4

02:06

26 - Serverless inference.mp4

01:56

27 - Rust CLI inference.mp4

02:07

28 - Rust chat inference.mp4

02:03

29 - The chat loop with StarCoder.mp4

02:04

30 - Invoke an LLM on an AWS G5 instance, part 1.mp4

04:36

31 - Invoke an LLM on an AWS G5 instance, part 2.mp4

02:58

Description

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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Artificial Intelligence

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

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