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Hi Adam,
me again.
I have built a correspondence exchange system for a governmental entity in Kongo DR. Actually it helps following correspondences when received during the whole workflow until an answer is sent back to the original sender. The solution is completely Quarkus-based as you can imagine.
I would like to integrate AI in the solution to bring it more value in that when the letters are received (via the Post Office) and scanned, the AI will be able to read the document, make a summary of it before categorizing it. Any idea on how to pass documents for such an action to an LLM? I would like to use a local one in order to cut costs on the solution.
Cheers and thnx in advance ,
D.
Time travel, questions and topics from the 34th episode:
The state of microprofile.io, Motivation for StatusTest, Java EE -- feedback from JUGs, Micro,
Swarms and co. the possible killer use case., SPA and JAX-RS. One or multiple projects?, Files filtering and
Java FX, REST architecture in 5 mins, Should we keep SOAP?, Personal opinions on article: "Oracle finally
targets Java non-payers", CDI with transactions, When should we start to worry about performance?, How we
can communicate multiple microservices without share their DTO's?, A lean way to inject properties with Java
EE., Java EE vs. Spring, Is it possible to put HTML5 application after the .war has been compiled?, Future
of NetBeans, Non blocking IO vs. JDBC, Java EE and scalability, How to connect SPAs with backend
efficiently, Java EE vs. Spring Cloud -- how to deal with non functional requirements, Can we start threads
in a @singleton?
http://adambien.blog/roller/abien/entry/java_ee_vs_spring_state
Hi Adam,
long time no writing but always following and listening.
AI Agents and automation are the talk of the town now and I wanted to dip my toes into it to see what can really be done that would be interesting but I want to stick to Java/Quarkus and everything around it. Any advice on that as most of the interfaces I have seen for those are Low-/No-Code and Quarkus would be completely coded.
Cheers and hear from you soon with always much pleasure,
D.