When I started building LLM applications, one thing became obvious very quickly: Getting a response...
When I started building LLM applications, one thing became obvious very quickly:
Getting a response from an LLM is easy.
Getting a reliable, predictable, machine-readable response from an LLM is the real challenge.
A chatbot returning:
"Here is your answer..."
Chat, typed responses, RAG, and tool calling in a Spring Boot service, one step at a time.
Every team we talk to has a version of the same story. They built an LLM integration that works well...
Author(s): Atul Kumar Originally published on Towards AI. LangChain Explained: Understanding Models, Prompts, Chains, Memory,…
Getting structured data out of a language model reliably is harder than it looks. The model might...
Most developers extract only: response.choices[0].message.content But real AI engineering...
A few months ago, I was building a system to answer questions from 100-page technical PDFs. You know...
