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.
AI in self-driving cars is the stack of machine learning systems that let a vehicle sense its surroundings, predict what road users will do next, and control steering, braking, and acceleration without a human…
Jitendra Choubay
·
·18 min read
Yes, data annotation is legit: it is the real, paid work of labeling images, text, audio, and video so that artificial intelligence…
Jitendra Choubay
·
·
20 min read
Physical AI is artificial intelligence that perceives, reasons, and acts in the real world through robots and machines, and it learns almost…
Jitendra Choubay
·
·
20 min read
Digital farming is the use of connected sensors, satellite and drone imagery, farm data platforms, and artificial intelligence to turn a farm's…
Jitendra Choubay
·
·
14 min read
Content moderation services are managed programs of people, policy, and technology that review user-generated text, images, video, audio, and AI outputs to…
Jitendra Choubay
·
·
16 min read
Teleoperation is the real-time operation of a machine or robot by a human from a distance, using controls, sensors, and feedback to…
Jitendra Choubay
·
·
17 min read
For most people, AI will not take your whole job, but it will automate parts of it, and the roles built on…
Jitendra Choubay
·
·
20 min read
AI transcription is the automatic conversion of spoken audio into written text using speech-recognition models, without a human typing every word. It…
Jitendra Choubay
·
·
13 min read
Instruction tuning is a form of supervised fine-tuning that trains a pretrained language model on instruction-and-response examples so it learns to follow…
Jitendra Choubay
·
·
12 min read
Prompt engineering is the process of designing, testing, and refining the instructions given to AI models so they produce more accurate, relevant,…
Jitendra Choubay
·
·
13 min read
