Evaluate LLMs Against Prompt Injection Attacks Using Fiddler Auditor
Fiddler Auditor evaluates LLMs against prompt injection attacks to prevent misuse of LLMs that pose adversarial risks and harmful effects to organizations and users.
Fiddler Auditor evaluates LLMs against prompt injection attacks to prevent misuse of LLMs that pose adversarial risks and harmful effects to organizations and users.
We’re excited to announce an investment by Dentsu Ventures to help companies build responsible AI.
Read key takeaways from Peter Norvig’s talk on AI safety in generative AI, including considerations for AI fairness, responsible AI, and creativity versus accuracy.
Explore how model degradation impacts ML models over time and how AI Observability platforms help prevent AI degradation with continuous feedback and monitoring.
We’re excited to announce an investment by Mozilla Ventures to help us build transparency and trust in AI.
AI is often viewed through a binary positive or negative lens. Saad Ansari, Director of AI at Jasper AI, offers a novel view on AI as a public service.
Learn how explanations of Computer Vision model predictions can be made more human-centric when using integrated gradients to generate saliency maps.
Introducing Fiddler Auditor — an open source tool designed to evaluate the robustness of Large Language Models (LLMs) and Natural Language Processing (NLP) models.
Fiddler introduces end-to-end workflow for robust generative AI enabling MLOps teams to monitor, analyze, and optimize predictive AI models, LLMs, and generative AI.
Our panel of responsible AI experts outlined steps to implement responsible AI, including best practices for managing AI risk and ensuring accountability.