Practical, expert-written notes on building better AI — from consent-backed data collection and pixel-accurate annotation to RLHF, LLM evaluation and model-ready training data.
Choosing an egocentric data collection vendor? Compare rigs, use the 8-point CAPTURES checklist and see what drives cost per hour. Get a sample clip set.
Jitendra Choubay
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·17 min read
Text annotation services label raw text, such as chats, reviews, tickets and documents, with entities, sentiment, intent, categories and relationships so that…
Jitendra Choubay
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10 min read
Yes, Alignerr is legit: it is the contributor platform of Labelbox, a San Francisco AI data company founded in 2018, and it…
Jitendra Choubay
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11 min read
Yes, Handshake AI is legit: it is the AI training arm of Handshake, a US career network founded in 2014, and it…
Jitendra Choubay
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11 min read
Data ingestion is the process of collecting data from its sources, such as apps, databases, devices, files and APIs, and moving it…
Jitendra Choubay
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10 min read
RL environments are interactive, simulated workspaces where an AI agent takes actions, sees what happens, and receives a reward score, so it…
Jitendra Choubay
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11 min read
Continuous AI model evaluation is the practice of testing an AI model on every change and on a sample of live traffic,…
Jitendra Choubay
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12 min read
AI risk management frameworks are structured sets of principles, processes, and controls that help organizations find, measure, and reduce the harms an…
Jitendra Choubay
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15 min read
3D point cloud annotation is the process of labeling objects, surfaces, and regions inside a set of three-dimensional points captured by LiDAR,…
Jitendra Choubay
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15 min read
Multilingual LLM red teaming is the practice of adversarially testing a large language model for unsafe behavior in every language it serves,…
Jitendra Choubay
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18 min read
