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Learn Essential AI Terms for FileMaker


AI Essentials - AI Terminology for FileMaker

Using artificial intelligence (AI) tools like ChatGPT or Google Gemini can significantly streamline your development process and enhance problem-solving capabilities. But to effectively leverage AI, it’s important to understand foundational AI terminology.

This blog introduces you to the essential terminology you’ll need to make sense of how AI works and how it can improve your FileMaker development efforts.

AI Essentials - AI Terminology for FileMaker

AI terms you should know

  • Machine Learning (ML): A subset of AI that enables systems to learn from data and improve without being explicitly programmed.
  • Natural Language Processing (NLP): The field of AI focused on enabling machines to understand and interact with human language.
  • Large Language Models (LLM): AI models like GPT that have been trained on massive datasets to generate human-like text.
  • Generative Pre-Trained Transformer (GPT): A specific type of LLM used for generating text-based responses.
  • Tokens: Units of text data used by AI models to process and generate responses.
  • Prompt/Prompt Engineering: The practice of designing input queries to achieve the desired output from an AI model.
  • API Key: A unique identifier used to authenticate and interact with an AI model.
  • DDL (Data Definition Language): SQL commands used to define and modify the structure of a database.
  • Embeddings: Numerical representations of text used for capturing semantic meaning in searches or comparisons.
  • JSON: A data format used for structuring data exchanges between systems, like FileMaker and AI models.
  • Vectors: Numerical arrays used to represent words or text, helping AI models understand relationships between data.
  • Cosine Similarity: A measure used to evaluate the similarity between two vectors, often applied in text comparison tasks.
  • Semantic Search: A search technique used by AI to understand the meaning behind words and provide more relevant search results.

Understanding these terms will not only help you integrate AI into your FileMaker solutions but also enable you to work with AI more effectively in a range of applications.

Learn more about using AI with FileMaker

Now that you’re familiar with some essential AI terminology, you might be wondering how to practically apply these concepts within your FileMaker solutions. Our AI Essentials for FileMaker Developers course is specifically designed to help you do just that.

In the course, you’ll explore these terms in depth and discover hands-on techniques to integrate powerful AI technologies into your workflow. Whether you’re just starting your journey with AI or looking to sharpen your skills, you’ll find clear, step-by-step instruction tailored specifically to FileMaker developers.

Here’s a glimpse of what you’ll learn:

  • How to apply prompt engineering techniques to improve AI accuracy and performance.
  • The difference between Consumer AI and Developer AI.
  • Practical ways to leverage AI tools like ChatGPT, Google Gemini, and more.
  • Methods for enhancing search capabilities through semantic search and embeddings.

By taking this course, you’ll not only deepen your understanding of AI fundamentals but also gain the confidence and practical experience needed to implement smarter, more efficient FileMaker solutions right away.

Ready to learn more and see how AI can transform your FileMaker development?

Other products and services Productive Computing, Inc. offers:

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Using AI with FileMaker

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