Core concepts to create your first LLM powered applicaiton with Java

1. Core concepts to create
your first LLM application
using Java
LLM with
Java

2. GENAI WAS A
TREND

5. for Command Line Interface

6. Gartner

7. McKinsey

8. Accenture

9. WHY IT
DOES
MATTER?

10. Code
Test
Documentation
New products & services

11. Code
Test
Documentation
New products & services
...and can be fun!

12. FUNDAMENTALS

14. Input Output
Application

15. Models

16. Models trained to GENERATE text,
images, audio and other media

18. Input Output
Application
Write hello world in Java
public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, World!");
}
}

21. Prompts

22. Input Output
Application
Titanic 🛳️🌊🧊🚢💔👫🎶🔥🌟💏

23. Memory

24. Input Output
Application
Write hello world in Java
public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, World!");
}
}
Change the output to
'TDC Future'

25. Input Output
Application
Write hello world in Java
public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, World!");
}
}
Change the output to
'TDC Future'
STATELESS

26. Retrieval
(RAG)

27. Selectively add context to the
model

28. 0

29. https://odsc.medium.com/a-gentle-introduction-to-vector-search-3c0511bc6771

30. https://www.datacamp.com/blog/the-top-5-vector-databases

32. Agents

33. Program actions to the model

35. langchain4j (https://github.com/langchain4j)
Introduction to Generative AI (https://www.youtube.com/watch?v=G2fqAlgmoPo)
Introduction to LangChain (https://www.baeldung.com/java-langchain-basics)
Java Meets AI: A Hands-On Guide to Building LLM-Powered Applications with LangChain4j (https://devoxx.be/talk/?
id=34002)
From Clicks to Conversations: Designing LLM-powered Apps (https://devoxx.be/talk/?id=34553)
The architecture of today’s LLM applications (https://github.blog/2023-10-30-the-architecture-of-todays-llm-
applications/)
How do domain-specific chatbots work? An Overview of Retrieval Augmented Generation (RAG)
(https://scriv.ai/guides/retrieval-augmented-generation-overview/)
CodeWhisperer CLI (https://docs.aws.amazon.com/codewhisperer/latest/userguide/command-line-getting-started-
installing.html)
Life Architect (https://lifearchitect.ai)
Vector databases (2): Understanding their internals (https://thedataquarry.com/posts/vector-db-2/)
Referências

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Yugo Sakamoto
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