LinkedIn – Responsible Generative AI and Local LLMs 2024-7

Description

Responsible Generative AI and Local LLMs course. In this course, the instructor of this course, an MLOps expert, will guide you through mastering the theory of generative artificial intelligence and the use of large local language models such as Mistral, llamafile, Candle, and Lorax. You will learn about the concepts of profit sharing, tragedy of the commons, and game theory as they relate to generative artificial intelligence. You’ll delve into full competition, negative externalities, and how to fine-tune Mistral with Ludwig. You’ll also learn how to get started with llamafile and how to run Hello World in Candle. Check out Rust and Candle and learn how to transcribe audio with Whisper. In addition, you will learn how to use Rust for large language models.

This comprehensive training course introduces students to the complex concepts of generative artificial intelligence and its practical applications. Focusing on large local language models, the course allows students to work directly with these technologies and develop their own projects. In addition to technical training, the course also explores the social and economic aspects of generative artificial intelligence, helping students gain a deep understanding of the impact of this technology on society.

What you will learn:

• Generative artificial intelligence theory
• Using large local language models such as Mistral, llamafile, Candle and Lorax
• Concepts of profit sharing, tragedy of the commons and game theory in relation to generative artificial intelligence
• Perfect competition and negative externalities
• Mistral fine tuning with Ludwig
• Getting started with llamafile and running Hello World in Candle
• Review of Rust and Candle
• Voice transcription with Whisper
• Using Rust for large language models

This course is suitable for people who:

• Interested in generative artificial intelligence.
• They want to work with large local language models.
• They want to learn about the economic concepts associated with productive artificial intelligence.
• They want to use different tools to work with large language models.
• Are interested in programming with Rust.

Responsible Generative AI and Local LLMs course specifications

• Publisher: LinkedIn
• Instructor: Noah Gift
• Training level: beginner
• Training duration: 1 hour and 48 minutes

Course headings

Course images

Sample video of the course

download link

Download file – 227 MB

File(s) password: www.downloadly.ir

File size

227 MB