A batch script must always be able to resume its work. The script needs active monitoring. Always test token counts before running a full batch.
By Pawan Nayar · from the LLOS AI Learning record
A batch script must always be able to resume its work.
The script needs active monitoring. Always test token counts before running a full batch.
A developer should design batch scripts to resume by default. This prevents lost work if the script stops. Active monitoring is important. A developer should not rely only on automatic notifications. A developer must check progress regularly. Always test a small part of the batch first. This helps a developer understand actual token usage. Token estimates can be very wrong.
A developer runs a script to process 10,000 documents. The script stops after 5,000 documents. If the script cannot resume, the developer must restart from the beginning. This wastes time and money. If the developer tests with 10 documents first, the developer learns the true cost. The developer can then adjust the budget or plan.
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A batch script must always be able to resume its work. The script needs active monitoring. Always test token counts before running a full batch.