LLM / GenAI Java Bootstrap

Essential Knowledge LLM / GenAI knowledge for enterprise Java

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at Live, virtual workshop

Language: English

Price: 150€ (+19% MwSt. [VAT])

Learn how to...

We will create together a (serverless) MicroProfile application with LLM access.

Goals

  • Introduction to Large Language Models (LLMs) and Generative AI
  • Understanding LLM basics
  • Overview of LangChain4j and Quarkus and its role in Java-based AI development
  • Types of models (GPT, BERT, etc.)
  • Tokenization and embeddings
  • Prompt engineering techniques
  • Enterprise "AI" Integration
  • API
  • tools and functions
  • structure output
  • RAG vs. large context windows
  • first party integration
  • AWS Bedrock
  • Hands-on with LangChain4j
  • Basic text generation
  • Question answering systems
  • Rule Engines
  • Expert Systems
  • Advanced LangChain4j features
  • Chaining multiple AI tasks
  • Memory and context management
  • Integrating with external tools and APIs
  • Building a practical AI application
  • Designing the application architecture
  • Implementing core functionalities
  • Optimizing for performance and scalability
  • AI ethics and responsible development
  • Bias detection and mitigation
  • Privacy considerations
  • Ethical use of AI in applications
  • Deploying AI applications
  • Containerization with Docker
  • Cloud deployment options
  • Monitoring and maintaining AI systems
  • Future trends in AI and potential impacts on Java development
  • RAG
  • cost driven architectures
  • fault tolerance
  • CI/CD
  • subagents
  • Fine Tuning
  • Pure Java AI

I will ... workshop a GIT-repository with all intermediate steps and a deployable application.

For local model inference (fully optional) you will need a fastest possible machine. For all other use cases a typical development machine is sufficient.

Feel free to contact me / register via email: workshops[-AT-]adam-bien.com

You might be also interested in: Effective Java EE Workshop [one day later].

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