RUBIKSCORP · Pune, India
Clear explanations, practical examples and questions you can use in a real project. Start with the basics, then follow the path that fits your work.
Start here if the terminology is new.
Artificial intelligence is a broad field of computer systems that perform tasks such as recognizing patterns, generating language and making predictions.
Read: What is AI? A practical guide for business and factory teams
Artificial general intelligence, or AGI, is a research concept for AI with broadly transferable capabilities across many kinds of task.
Read: What is AGI? Definitions, evidence and questions worth askingA large language model, or LLM, is a model trained on language-related patterns and used to generate or transform text.
Read: How large language models work: tokens, context and reliable answersCompare architectures, define a test and plan a useful experiment.
A chatbot is a conversational interface.
Read: AI agents vs chatbots vs workflows: choose the right amount of autonomyRAG supplies retrieved information when a system answers.
Read: RAG vs fine-tuning: how to choose for business AIAI evaluation is a repeatable comparison between what a system does and what a defined task requires.
Read: How to evaluate AI: a practical test plan before releaseAn AI proof of concept answers a bounded question about feasibility.
Read: From AI proof of concept to production: a roadmap with decision gatesConnect a visible production problem to data, errors and a bounded pilot.
Factory computer vision uses image or video data to support tasks such as product counting and visible defect inspection.
Read: Computer vision for factories: inspect, count and measure the right errorsStart with one production problem, then compare providers on site conditions, data readiness, pilot evidence and operator support.
Read: How to choose a company to help your factory use AI
Production data is often incomplete, inconsistent across machines or locked in separate systems.
Read: Why factory data is not ready for machine learningBring the question back to a decision someone needs to make.
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