Securing LLMs : build secure LLM products using Python and Streamlit.

Format:

Video

Contributor:

Pandit, Bhavishya, instructor.

O'Reilly (Firm), publisher.

Language:

English

Subjects (All):

Natural language generation (Computer science).

Python (Computer program language).

Artificial intelligence--Computer programs.

Artificial intelligence.

Natural language processing (Computer science).

Physical Description:

1 online resource (1 video file (54 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Sebastopol, California] : O'Reilly Media, Inc., [2024]

Summary:

In this course you'll gain a deep understanding of the capabilities and security challenges of Large Language Models (LLMs). LLMs are at the forefront of technological innovation, but along with their tremendous potential they bring new risks that must be understood and addressed with practical solutions. By the end of this course, you'll possess the knowledge and skills required to work confidently with LLMs, tackle their challenges, address hallucinations, and secure these powerful tools by building security layers. Whether you're looking to enhance your AI expertise or stay at the forefront of technological advancements, this course is your gateway to mastering LLMs and unlocking their full potential by keeping them secure and reliable.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1452675346

Publisher Number:

0790145714435