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The Large Language Model (LLM) behind ChatGPT is an amazing piece of technology and it’s only going to get better over time.
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Update Tabular Model Descriptions from ChatGPT with rate limiting logic () A Final Warning If you would like to see an example of an updated script which will skip measures which already have descriptions (so if you’ve manually updated some or if there was an issue part way through running a previous script
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You can upgrade to a paid account which has much a higher limit. #Tabular editor power bi free download code
You can add pauses in the code to wait until the next minute when you can then make another 20 calls.There are 2 approaches that you can use to work around this. Once you hit that limit the API will return a 429 error code which is a common code meaning “Too many requests”. In the case of the Open AI APIs they document their rate limits here and at the time of writing they only allow 20 calls per minute for a free account. Basically, it is a mechanism that APIs use to prevent users from monopolizing the resources on a service by limiting the number of calls that can be made within a given timeframe. If you have not worked with API calls before you may not have come across the term “rate limiting” before. Click on the New C# Script button to create a C# script document and paste in the script from my earlier post.The steps for Tabular Editor 3 are almost the same with the main difference being at step 2 because TE3 allows you to have multiple C# scripts open at the same time. If you are happy with the generated descriptions clicking the Save Changes button will save the new descriptions back to your data model.
The text generated by ChatGPT will appear in the Description property for the measure. At this point all the descriptions are still local and have not been saved back to your data model. Once the script has run you can check some of the descriptions by clicking on a measure in the model explorer. Click the play button to run the script, this step could take a while depending on the number of measures and whether you hit throttling (more on this below). Optional: if you are targeting users that speak a language other than English you can update the question text on line 10 to your desired language (from what I understand ChatGPT understands about 100 different languages so you might need to test if this works in your language). There are instructions in my earlier post for requesting your own API key from Open AI you need to paste the key into this line between the quotes (“). Click on the C# Script tab and paste in the script from my earlier post. If you launched Tabular Editor from the External Tools ribbon in Power BI desktop you can skip this step, otherwise click on this icon to connect to your data model. Running the script in Tabular Editor 3 (paid)īelow is a very brief tutorial on running a script using Tabular Editor 2. Running the script in Tabular Editor 2 (free). The things I want to cover in the post are There were a number of interesting questions in the comments to that post which I thought would make a follow up post worthwhile. In my previous post I had a short 40 line script for Tabular Editor ( free | paid) which could generate descriptions for the measures in your tabular model. Finally click the save button to save this change back to Power BI. The sample script sets the parallelism to 10, you can experiment with different values by changing the value in the last line of the script. Paste the code below into the “C# Script” tab in TE2 or open a new C# Script document in TE3. Launch Tabular Editor and connect to the XMLA endpoint for your workspace (so this requires a premium workspace). If you are able to use Tabular Editor then there is a much simpler way to change this setting. But that is something that not all BI developers are comfortable doing. net program that you could compile and run from Visual Studio or from the command line compiler. The sample code in the blog post above is a full. #Tabular editor power bi free download how to
If saw this announcement last month – Query parallelization helps to boost Power BI dataset performance in DirectQuery mode | Microsoft Power BI Blog | Microsoft Power BI – about the new MaxParallelismPerQuery setting and you were interested in testing, but you were not sure how to run the sample code then read on.
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