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Practical guides and perspectives on AI training data, multilingual speech, video datasets, annotation, LLM evaluation and Agentic AI.

First-person video of hands performing a kitchen task

What Is Egocentric Video Data — and Why Robotics AI Needs It

First-person video is quickly becoming one of the most valuable data types in AI. Here is what egocentric data is, why robotics and AR teams want it, and how to collect it well.

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Speakers recording prompts on a mobile app in different languages

Speech Data5 Sept 2026 7 min read

Building Multilingual Speech Datasets for 100+ Languages

Speech AI only works as well as the voices it was trained on. A practical look at planning speech datasets that cover languages, accents, demographics and real acoustic conditions.

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Reviewers comparing AI model responses side by side

LLM Evaluation22 Aug 2026 6 min read

Human-in-the-Loop: Why LLM Evaluation Still Needs People

Automated benchmarks are useful, but they cannot judge tone, cultural nuance or real-world helpfulness. Why human evaluation remains essential for trustworthy LLMs.

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Handwritten forms and printed invoices with labeled fields

Document AI8 Aug 2026 5 min read

OCR & Document AI: Preparing Training Data for Real-World Documents

Invoices, receipts, ID cards and handwritten forms are messy. Here is how to build OCR and Document AI training data that holds up in production.

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