30 Days of LLMs: Day 26 - Unlock AI Security Essentials
For Day 26 of the W&B 30 Days of LLMs, join Shahram Anver in this exploration of AI security risks, focusing on prompt injections and their implications for LLM applications.
Created on December 18|Last edited on December 22
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Day 26 - Unlock AI Security Essentials
Welcome to Day 26 of our complimentary course, "Building LLM-Powered Apps". In this episode, we hear from Shahram Anver, the Co-creator of Rebuff and delve into the essential elements of AI security and innovative measures against prompt injections in large language models.
Chapter Highlights
- Grasping AI Security Threats: Understand the primary risks in AI models, focusing on alignment, bias, security, and safety.
- Addressing Prompt Injection Issues: Investigate prompt injections, their potential misuse, and their effects on your tools.
- Introduction to Rebuff: Discover Rebuff, the pioneering, self-improving framework for detecting prompt injections, developed by Shahram and his team.
- Live Examples: Observe practical instances showing the perils of prompt injections and how Rebuff effectively counters these threats.
- Integration Guidance: Get insights on smoothly adding Rebuff into your LLM tools, boosting security while maintaining efficiency.
Key Course Information
- No deep machine learning knowledge is needed, just some familiarity with Python programming.
- Strategies for continual enhancement of your LLM applications.
- Unique perspectives on the LLM tools used by Weights & Biases.
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Preview of the Next Chapter
Don't miss tomorrow's installment, we'll explore the Wandbot overview and its application in LLM tools!
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