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Navigating the Challenges of LLMs: Guardrails AI to the Rescue; With Guest: Shreya Rajpal
Manage episode 365414666 series 3461851
In “Navigating the Challenges of LLMs: Guardrails to the Rescue,” Protect AI Co-Founders, Daryan Dehghanpisheh and Badar Ahmed, interview the creator of Guardrails AI, Shreya Rajpal.
Guardrails AI is an open source package that allows users to add structure, type, and quality guarantees to the outputs of large language models (LLMs).
In this highly technical discussion, the group digs into Shreya’s inspiration for starting the Guardrails project, the challenges of building a deterministic “guardrail” system on top of probabilistic large language models, and the challenges in general (both technical and otherwise) that developers face when building applications for LLMs.
If you’re an engineer or developer in this space looking to integrate large language models into the applications you’re building, this episode is a must-listen and highlights important security considerations.
Thanks for checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com.
Additional tools and resources to check out:
Protect AI Guardian: Zero Trust for ML Models
Recon: Automated Red Teaming for GenAI
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard Open Source Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform
41 episoder
Manage episode 365414666 series 3461851
In “Navigating the Challenges of LLMs: Guardrails to the Rescue,” Protect AI Co-Founders, Daryan Dehghanpisheh and Badar Ahmed, interview the creator of Guardrails AI, Shreya Rajpal.
Guardrails AI is an open source package that allows users to add structure, type, and quality guarantees to the outputs of large language models (LLMs).
In this highly technical discussion, the group digs into Shreya’s inspiration for starting the Guardrails project, the challenges of building a deterministic “guardrail” system on top of probabilistic large language models, and the challenges in general (both technical and otherwise) that developers face when building applications for LLMs.
If you’re an engineer or developer in this space looking to integrate large language models into the applications you’re building, this episode is a must-listen and highlights important security considerations.
Thanks for checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com.
Additional tools and resources to check out:
Protect AI Guardian: Zero Trust for ML Models
Recon: Automated Red Teaming for GenAI
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard Open Source Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform
41 episoder
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