Blog

Our perspectives, insights and research on all things AI. From annotation guidelines and NLP to the latest with generative AI.
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Why human skills are the secret ingredient in generative AI

Graphic depicts a cozy creative workspace with a coffee cup, potted plant, and an open notebook filled with colorful diagrams to illustrate human-centered generative AI training
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How red teaming AI reveals gaps in global model safety

Graphic depicts a focused engineer delicately repairing clockwork mechanisms at a workbench to illustrate multilingual red teaming AI.
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Building LLMs with sensitive data: A practical guide to privacy and security

Graphic depicts a doctor reviewing patient notes in a clinic to illustrate LLM data privacy and security — highlighting the importance of safeguarding sensitive information such as PII and PHI in AI model training and evaluation.
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When “uh… so, yeah” means something: teaching AI the messy parts of human talk

Graphic depicts a group of teens talking at a skate park at sunset to illustrate disfluency, slang, idioms, and subtext annotation — showing how real human conversation includes tone, emotion, and informal language that AI must learn to interpret.
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Bias detection in generative AI: Practical ways to find and fix it

Graphic depicts a hand selecting from a mix of fruits to illustrate bias detection in generative AI, where diversity must be balanced and fairness preserved.
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FAQs: Human data annotation for generative and agentic AI

Graphic depicts a vibrant annotation-focused workspace with laptops and transparent displays to illustrate FAQs on RLHF, red teaming, and data annotation in AI systems.
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