Download as PDF, PPTX
![Input Output
Application
Write hello world in Java
public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, World!");
}
}](https://image.slidesharecdn.com/tdcfuture2023-231228003417-ceb07300/75/TDC-Future-2023-pdf-18-2048.jpg)
![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'](https://image.slidesharecdn.com/tdcfuture2023-231228003417-ceb07300/75/TDC-Future-2023-pdf-24-2048.jpg)
![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](https://image.slidesharecdn.com/tdcfuture2023-231228003417-ceb07300/75/TDC-Future-2023-pdf-25-2048.jpg)
TDC Future 2023.pdf
- 1. Conceitos de Arquitetura paracriar sua primeira aplicação com AI GenAI com Java
- 2. GENAI FOI A TRENDDO ANO
- 5. for Command LineInterface
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- 11. Código Testes Documentação Novos produtos eserviços e pode ser divertido!
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- 16. Modelos treinados paraencontrar padrões e GERAR texto, imagem, audio ou outra mídia.
- 18. Input Output Application Write helloworld in Java public class HelloWorld { public static void main(String[] args) { System.out.println("Hello, World!"); } }
- 21.
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- 24. Input Output Application Write helloworld 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 helloworld in Java public class HelloWorld { public static void main(String[] args) { System.out.println("Hello, World!"); } } Change the output to 'TDC Future' STATELESS
- 26.
- 27. Adicionar contexto parao modelo
- 28.
- 30.
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- 33. Programar ações paraauxiliar o modelo
- 35.
- 36. Não determinística Limite deTokens Custos para API Execução local pesado Segurança dos dados
- 37. langchain4j (https://github.com/langchain4j) Introduction toGenerative 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
- 38. Quer saber maissobre Arquitetura de Software? Baixe meu E-book: Yugo Sakamoto Arquiteto de Software, Tech Lead e Data Science Manager na Accenture OBRIGADO! @ymoto yugo-sakamoto https://sendfox.com/yugoccp