Activity
Rosie Sherry
CEO & Founder at Ministry of Testing
She/Her
I've been working in the software testing and quality engineering space since the year 2000 whilst also combining it with my love for education and community. It turns out quality, community and education go nicely hand in hand.
🎓 MoT-STEC qualified
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The Vibium waiting game
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The dirty secrets of agile
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Reaction: Ensuring quality for a peculiar piece of software
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Prioritization First, Principles Second: An Adaptive Interpretation of Helpful, Honest, and Harmless Principles
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How to train helpful, honest, and harmless AI Learn how to implement a helpful, honest, and harmless model that meets standards through human-generated data in order to meet the needs of users and enterprises.
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Harmless, Honest, and Helpful AI: Aligning AI the Right Way
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RLHF for harmless, honest, and helpful AI
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A Decision Tree for Responsible AI Implementation Using the Harmless - Helpful - Honest Framework
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We need an adaptive interpretation of helpful, honest and harmless principles
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Tailoring AI Behavior to Context: Adaptive HHH Alignment
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Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback
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Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
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3 Hs for AI: Helpful, Honest, and Harmless
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A General Language Assistant as a Laboratory for Alignment
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Too Helpful, Too Harmless, Too Honest or Just Right?
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‘Helpful, Honest, Harmless’ AI
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Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback
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Developing LLMs that are helpful, truthful, and harmless
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Reinforcement Learning from Human Feedback: Improving AI with LLM Alignment
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We Think, Therefore We Align LLMs to Helpful, Harmless and Honest Before They Go Wrong
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Dont Let AI Read Your .env Files
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Exploring the Impact of AI on Workplace Collaboration: Survey
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None of us Read the specs
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Hundreds of thousands of Grok chats exposed in Google results
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LLM-as-a-Judge: A Practical Guide
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The playbook for responsible generative AI development and use
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AI Can't Even Fix a Simple Bug — But Sure, Let's Fire Engineers
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AI researchers ’embodied’ an LLM into a robot – and it started channeling Robin Williams
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The Uncanny Valley of AI Testers
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TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI
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