From the course: FileMaker Pro Essential Training
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Understanding optimizing AI usage - FileMaker Pro Tutorial
From the course: FileMaker Pro Essential Training
Understanding optimizing AI usage
- [Instructor] As we integrate AI capabilities into our FileMaker solutions, it becomes crucial to monitor and optimize the AI usage. This isn't just about enhancing performance, it's actually also about managing cost effectively. AI operations, particularly those involving Large Language Models, can be resource-intensive and potentially expensive if not managed properly. So let's start by exploring the tools in FileMaker Pro that allow us to manage AI optimization, including logging, token counting, and usage tracking. The set AI call logging script step controls whether details of AI calls are saved to a log file, and if so, logs all the AI script step and function calls in the file name specified by the file name option. Looking at the options here, On starts logging all the AI script step or function calls in the specified log file. In that case, AI calls continue to be logged for all scripts in the current FileMaker profile until the file is closed or until the script is run, and…
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(Locked)
AI in FileMaker Pro 20244m 32s
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(Locked)
Setting up AI integration3m 50s
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(Locked)
Understanding insert embeddings4m 7s
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(Locked)
Understanding GetEmbedding2m 14s
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(Locked)
Working with embeddings5m 10s
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(Locked)
Understanding Perform Semantic Find4m 13s
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(Locked)
Working with Perform Semantic Find5m 46s
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(Locked)
Testing Perform Semantic Find4m 43s
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(Locked)
Understanding cosine similarity3m 11s
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Working with cosine similarity4m 44s
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Working with GetEmbedding6m 4s
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Understanding optimizing AI usage4m 40s
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(Locked)
Working with Set AI Call Logging3m 8s
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(Locked)
Working with token counts6m 50s
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(Locked)
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