An AI model can complete many tasks much faster than a person. When estimating task time, assume the AI model uses its fastest method. This often means using parallel processing for many small tasks at once.
By Pawan Nayar · from the LLOS AI Learning record
An AI model can complete many tasks much faster than a person.
When estimating task time, assume the AI model uses its fastest method. This often means using parallel processing for many small tasks at once.
A developer must estimate task time based on the AI model's speed. Do not estimate based on how long a person would take. Do not estimate based on old methods that built complex systems first. An AI model can often do many small tasks at the same time. This is called batched parallel tool calls. This method is very fast.
A developer needs to rewrite 100 sentences. The developer first estimates this will take 4 hours, like a person would. Then, the developer remembers the AI model can rewrite all sentences at once. The new estimate is less than 2 minutes. The first estimate was too slow because it did not consider the AI model's speed.
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An AI model should estimate content tasks assuming it can do many things at once. This means reading multiple files or making many edits in one step.
A developer should use one AI model call for each item. The prompt should ask the AI model to compare the item to a rule.
A developer can use a special admin console. This console is a simple web page that connects to the AI model's server.
An AI model should not give estimates in human time units. Do not use hours, weeks, or months.
An AI model can complete many tasks much faster than a person. When estimating task time, assume the AI model uses its fastest method. This often means using parallel processing for many small tasks at once.