Merge pull request #6625 from NandiniMurali/patch-6

Update fine-tuning-cost-management.md

Author: prmerger-automator[bot]

articles/ai-foundry/openai/how-to/fine-tuning-cost-management.md

@@ -29,15 +29,15 @@ This is the one-time, fixed cost associated with teaching a base model your spec
 It's straightforward to estimate the costs for SFT & DPO. You're charged based on the number of tokens in your training file, and the number of epochs for your training job.
 
 $$
-\text{price} = \text{\# training tokens} \times \text{\# epochs} \times \text{price per token}
+\text{price} = \text{\# training tokens} \times \text{\# epochs} \times \text{training price per token}
 $$
 
 In general, smaller models and more recent models have lower prices per token than larger, older models. To estimate the number of tokens in your file, you can use the [tiktoken library](https://github.com/openai/tiktoken) – or, for a less precise estimate, one word is roughly equivalent to four tokens.
 
 We offer both regional and global training for SFT; if you don't need data residency, global training allows you to train at a discounted rate.
 
 > [!IMPORTANT]
-> We don't charge you for time spent in queue, failed jobs, jobs canceled prior to training beginning, or data safety checks.
+> We don't charge you for time spent in queue, failed jobs, jobs canceled prior to training beginning, or data safety checks. Training token price is different from inferencing input/ output token price. Please refer the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service)
 
 #### Example: Supervised fine-tuning (SFT)
 
@@ -186,4 +186,4 @@ $$
 \text{Total Cost} = (1.70 \times 30 \times 24) + (22 + 176) = \$1422.00
 $$
 
-Always refer to the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service) for pricing information. The numbers in this article are for example purposes only.
+Always refer to the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service) for pricing information. The numbers in this article are for example purposes only.