#aiinjava — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aiinjava, aggregated by home.social.
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LangChain4j has crossed an important line:
from “interesting library” → production Java AI infrastructure.I wrote a long-form guide with 50 LangChain4j interview questions, covering:
• AI Services
• RAG & embeddings
• Tools & agents
• Memory & context limits
• Observability, cost, and securityWritten from a production Java perspective — not Python demos.
https://www.the-main-thread.com/p/langchain4j-interview-questions-java
#Java #LangChain4j #AIinJava #EnterpriseJava #RAG #LLM #SoftwareArchitecture #DevExperience
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#Java apps can now run transformer-based AI models directly in the JVM - no Python, REST wrappers, or microservices required!
Integrate #ONNX-powered inference with:
• Tokenizer support
• GPU acceleration
• Modular deployment
• Observability🔗 Read more in the #InfoQ article by Syed Danish Ali: https://bit.ly/4htllhT
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🔧 Spring AI feels like your familiar Spring Boot buddy—smooth, seamless, and zero friction. Meanwhile, LangChain4j is the Swiss Army knife: chainable prompts, chat memory, RAG—you name it. Choose wisely. #AIinJava #ChatMemory
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#AI is here to stay - and it’s a HUGE opportunity for #Java & #Spring developers!
#SpringAI 1.0 is now available - a comprehensive solution for AI engineering in Java, shaped by rapid advances in the AI space.
📘 In this #InfoQ article, Josh Long examines the new Spring AI 1.0 project and explores how it can be used to integrate AI more effectively!
🔗 Learn more: https://bit.ly/4lTYBc3