AI Inference Explained, Part 1 Most people think AI happens when a model is trained. That’s wrong. Training is when engineers feed a model trillions of tokens and adjust billions of parameters. That can take weeks, cost $10M–$100M+, and happens maybe once a quarter. Inference is the opposite. Inference is when the model is used. Every time you: • type into ChatGPT • ask Alexa a question • get a Netflix recommendation • see fraud blocked on your credit card That is inference. Technically: Inference = forward pass only. No learning. No weight updates. Just probability calculation at runtime. Why this matters: Training happens rarely. Inference happens millions of times per second globally. That’s where: • latency matters • reliability matters • cost matters Inference is not research. Inference is production. #artificialintelligence #ai #technology #inference #tokens #techeducation
♬ original sound – Eugina I Building YOUnifiedAI – Eugina I Building YOUnifiedAI
@euginastartupfounder AI Inference Explained, Part 1 Most people think AI happens when a model is trained. That’s wrong. Training is when engineers feed a model trillions of tokens and adjust billions of parameters. That can take weeks, cost $10M–$100M+, and happens maybe once a quarter. Inference is the opposite. Inference is when the model is used. Every time you: • type into ChatGPT • ask Alexa a question • get a Netflix recommendation • see fraud blocked on your credit card That is inference. Technically: Inference = forward pass only. No learning. No weight updates. Just probability calculation at runtime. Why this matters: Training happens rarely. Inference happens millions of times per second globally. That’s where: • latency matters • reliability matters • cost matters Inference is not research. Inference is production. #artificialintelligence #ai #technology #inference #tokens #techeducation
♬ original sound – Eugina I Building YOUnifiedAI – Eugina I Building YOUnifiedAI
