DIGFM: Beyond Semantic Search—Interesting ways to leverage AI for your solutions (8/8/2024)

Join us with Cris Ippolite for a compelling presentation on the versatile applications of embeddings and vectors, going beyond their use in semantic search. While converting text to vectors through embedding models makes possible FileMaker 21's new semantic search feature, there are numerous other interesting ways to leverage this embeddings and vectors.

Topics Covered:

Translations and Translation Scoring:
Learn how embeddings and vectors improve translation accuracy and quality, with methods for translation scoring that extend beyond search functionalities.

Pairing Needs and Solutions:
Discover how embeddings can be used to pair needs with solutions, optimizing problem-solving and collaboration through advanced matching techniques.

Matching Use Cases:
Understand how embeddings can be used to match various use cases, showcasing matching solutions with issue tickets, matching applicants to jobs and more.

Bonus discussion on “Claristotle”, an open AI-powered learning platform to provide localized, context-aware assistance to FileMaker learners worldwide, which can be integrated into various help systems, chatbots, and learning resources, freely available to the community. See the community efforts underway to raise the latent “FileMaker Intelligence” of today’s language models. This will dive into concepts like Retrieval Augmented Generation and other ways that embeddings and vectors come into play.

Meeting details and discussion here.
https://community.claris.com/en/s/que...

You can follow more of what we're up to with the Developer Innovation Group in FileMaker—and even offer us suggestions—at the following Community group:
https://community.claris.com/en/s/gro...