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Trust

Ensuring AI is helpful, honest, and harmless through advanced Alignment Science and Safety Research. Explore technical frameworks for model evaluation, adversarial red-teaming, and Explainable AI (XAI) to build trust and meet global regulatory standards like the EU AI Act.

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Exploring LLM-as-a-Judge

Learn how LLM-as-a-judge works, when to use it (and when not to), common bias and failure modes, and research-backed best practices for building reliable evaluation systems.
22 mins read
Exploring LLM-as-a-Judge

Responsible AI: A guide to guardrails and scorers

Explore how security, ethical, and technical guardrails ensure accuracy, reliability, and compliance in AI applications.
6 mins read
Responsible AI: A guide to guardrails and scorers

Artificial intelligence assurance: Ensuring trust in AI systems

Explore AI assurance with Weights & Biases, ensuring compliance, safety, and fairness in AI systems through reliable tools and monitoring.
6 mins read
Artificial intelligence assurance: Ensuring trust in AI systems

AI and regulatory compliance in finance

Explore AI's role in finance compliance and how Weights & Biases ensures adherence to regulations and transparency through tools that provide governance and reproducibility.
10 mins read
AI and regulatory compliance in finance

The AI playbook for bank fraud detection

Explore AI's role in preventing financial fraud in banking, from identity theft to transaction fraud, with strategies for enhanced security and trust.
11 mins read
The AI playbook for bank fraud detection

What is model risk management in finance?

Learn how model risk management mitigates financial risks using AI, ensuring accuracy, compliance, and efficiency for financial institutions.
14 mins read
What is model risk management in finance?