On The Bike Shed, hosts Joël Quenneville and Stephanie Minn discuss development experiences and challenges at thoughtbot with Ruby, Rails, JavaScript, and whatever else is drawing their attention, admiration, or ire this week.
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Integrating AI with Java: Quarkus and Langchain4j
MP3•Episode home
Manage episode 409818457 series 2469611
Content provided by Adam Bien. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adam Bien or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
An airhacks.fm conversation with Dimitris Andreadis (@dandreadis) about:
…
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Dimitris appeared previously on "#64 Quarkus 1.0 and SpringBoot", discussion about integrating AI language models (LLMs) with Java applications using quarkus and langchain4j, OpenShift AI, the benefits of using Quarkus for AI integration, Drools and ML, the potential of using AI for rule engines and decision making, the challenges of handling state and context with LLMs, InfiniSpan and vector databases, the role of vector stores and embeddings for semantic search, the advantages of Java for enterprise applications and maintenance, the potential of using AI models natively with GraalVM, the importance of tools functionality for LLMs to call Java methods, the excitement around AI in the Java community, the future trajectory of tighter integration between Java and AI models, the potential of using AI for code generation and intelligent developer tooling
Dimitris Andreadis on twitter: @dandreadis
307 episodes
MP3•Episode home
Manage episode 409818457 series 2469611
Content provided by Adam Bien. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adam Bien or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
An airhacks.fm conversation with Dimitris Andreadis (@dandreadis) about:
…
continue reading
Dimitris appeared previously on "#64 Quarkus 1.0 and SpringBoot", discussion about integrating AI language models (LLMs) with Java applications using quarkus and langchain4j, OpenShift AI, the benefits of using Quarkus for AI integration, Drools and ML, the potential of using AI for rule engines and decision making, the challenges of handling state and context with LLMs, InfiniSpan and vector databases, the role of vector stores and embeddings for semantic search, the advantages of Java for enterprise applications and maintenance, the potential of using AI models natively with GraalVM, the importance of tools functionality for LLMs to call Java methods, the excitement around AI in the Java community, the future trajectory of tighter integration between Java and AI models, the potential of using AI for code generation and intelligent developer tooling
Dimitris Andreadis on twitter: @dandreadis
307 episodes
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