Responsible generative AI and local LLMs.

Format:

Video

Contributor:

Gift, Noah, instructor.

Pragmatic AI Solutions (Firm), publisher.

Language:

English

Subjects (All):

Artificial intelligence.

Natural language processing (Computer science).

Physical Description:

1 online resource (1 video file (1 hr., 35 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Place of publication not identified] : Pragmatic AI Solutions, 2024.

Summary:

Responsible Generative AI and Local LLMs Learning Generative AI During Live Coding This video series covers mastering the theory of Generative AI and using local LLMs like Mistral, llamafile, Candle, and Lorax. Lessons covered include: Profit Sharing Concepts Tragedy of the Commons Game Theory and Generative AI Perfect Competition Negative Externalities Fine-tuning Mistral with Ludwig Getting Started with llamafile Hello World in Candle Exploring Rust and Candle Transcribing Audio with Whisper Rust for LLMs Learning Objectives Learn about responsible and ethical uses of generative AI Getting hands-on with local LLMs like Mistral, llamafile, Candle, and Lorax Learning to build solutions by coding along during tutorials Learning the key syntax and features of the Rust Language Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1418760160

Publisher Number:

01172024VIDEOPAIML