Episodes

  • Revolutionizing AI with Java: From LLMs to Vector APIs

    Revolutionizing AI with Java: From LLMs to Vector APIs
    Sep 28 2024
    An airhacks.fm conversation with Alfonso Peterssen (@TheMukel) about: Alfonso previously appeared on "#294 LLama2.java: LLM integration with A 100% Pure Java file", discussion of llama2.java and llama3.java projects for running LLMs in Java, performance comparison between Java and C implementations, use of Vector API in Java for matrix multiplication, challenges and potential improvements in Vector API implementation, integration of various LLM models like Mistral, phi, qwen or gemma, differences in model sizes and capabilities, tokenization and chat format challenges across different models, potential for Java Community Process (JCP) standardization of gguf parsing, quantization techniques and their impact on performance, plans for integrating with langchain4j, advantages of pure Java implementations for AI models, potential for GraalVM and native image optimizations, discussion on the future of specialized AI models for specific tasks, challenges in training models with language capabilities but limited world knowledge, importance of SIMD instructions and vector operations for performance optimization, potential improvements in Java's handling of different float formats like float16 and bfloat16, discussion on the role of smaller, specialized AI models in enterprise applications and development tools

    Alfonso Peterssen on twitter: @TheMukel
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    1 hr and 9 mins
  • JAX-RS With- and Without Reactive Programming in Quarkus

    JAX-RS With- and Without Reactive Programming in Quarkus
    Sep 22 2024
    An airhacks.fm conversation with Georgios Andrianakis (@geoand86) about: discussion on JAX-RS and reactive programming in quarkus, comparison of blocking vs non-blocking approaches, performance considerations for different use cases, Quarkus underlying architecture using Vert.x, handling of HTTP requests and responses, thread management in Quarkus, reactive vs traditional programming models, integration with databases using Hibernate and Hibernate Reactive, JSON serialization options (Jackson, JSON-B), balancing act between supporting standards and providing modern features, documentation challenges for a large project like Quarkus, detecting blocked event loop threads, CPU-intensive tasks in reactive programming, non-blocking database drivers for reactive programming, historical perspective on messaging systems and their challenges, use cases for reactive programming, performance characteristics of blocking vs non-blocking systems under high load, brief mention of LangChain for Java and its similarity to JPA for LLMs

    Georgios Andrianakis on twitter: @geoand86
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    1 hr and 7 mins
  • Developer and Database Administrator

    Developer and Database Administrator
    Sep 10 2024
    An airhacks.fm conversation with Gerald Venzl (@GeraldVenzl) about: from a 386 computer with SimCity to Oracle's database evangelist, early interest in computer hardware and software, apprenticeship as a programmer in Austria, work experience with Oracle database and PLSQL, Steven Feuerstein, PLSQL expert, career moves to New York, London, and San Francisco, role as product manager and team leader at Oracle, efforts to attract developers to Oracle technologies, involvement in Oracle ACE Program, work on docker files for Oracle Database, challenges with ARM port for Mac, popular JavaOne talk on optimizing Java code for database performance, discussion of Oracle's various database technologies including NoSQL and TimesTen, importance of educating developers on database best practices, evolution of database performance techniques, future topics for discussion including Oracle architecture, Java integration, and business logic in databases, Gerald's team of evangelists across Europe, ways to contact Gerald and his team for speaking engagements or information

    Gerald Venzl on twitter: @GeraldVenzl
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    1 hr and 2 mins
  • Java 22 and 23 Features

    Java 22 and 23 Features
    Sep 3 2024
    An airhacks.fm conversation with Nicolai Parlog (@nipafx) about: Java 22 and 23 new features overview, including unnamed variables with underscore, multi-source file launching, G1 region pinning, Foreign Function & Memory API finalization, Markdown Javadoc support, ZGC generational collector by default, discussion on Java installation and beginner-friendliness, debate on proper use of LTS terminology for Java releases, potential for Java in AI/ML space with new vector APIs and native performance, comparison of Java to python for AI workloads, challenges and opportunities for Java adoption in data science and machine learning domains, importance of specialized AI models vs general models for enterprise use cases, trade-offs between developer experience and operational efficiency for different languages and runtimes, potential future directions for Java in high-performance computing and AI acceleration, previously, Nicolai appeared on "#300 Object-Oriented Programming (OOP) vs. Data-Oriented Programming (DOP) in Java"

    Nicolai Parlog on twitter: @nipafx
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    1 hr and 31 mins
  • From Spring to Quarkus: A Java Developer's Journey

    From Spring to Quarkus: A Java Developer's Journey
    Aug 24 2024
    An airhacks.fm conversation with Georgios Andrianakis (@geoand86) about: early experiences with computers and programming, transition from Pascal and C to Java in university, early career working with WebLogic and EJB, move to Spring development, joining Red Hat and discovering quarkus, developing Spring compatibility layer for Quarkus, Vodafone Greece case study showing benefits of migrating from Spring to Quarkus, current work on RESTEasy Reactive and langchain4j, exploration of future AI integration in Java with projects like Llama3.java, comparison of Spring, Quarkus, and Micronaut, discussion on the evolution of Spring and its perceived bloat, potential for Quarkus and LangChain4j to revolutionize enterprise AI integration, importance of pure Java solutions for AI inference and integration with existing enterprise applications

    Georgios Andrianakis on twitter: @geoand86
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    1 hr and 4 mins
  • How Micrometer Happened

    How Micrometer Happened
    Aug 18 2024
    An airhacks.fm conversation with Jonathan Schneider (@jon_k_schneider) about: Spinnaker's role in continuous delivery and multi-cloud deployments, multi-cloud architectures, Micrometer's origin and design as a vendor-neutral metrics abstraction library, comparison of micrometer to other metrics solutions like opentelemetry and MicroProfile Metrics, exploration of Micrometer's architecture including registries and meter types, debate on static vs dependency-injected registries, explanation of distribution summaries and their use cases, consideration of unit testing metrics, examination of Micrometer's support for multiple monitoring systems simultaneously, discussion of meter filters for customizing metric output, reflection on the trade-offs between language support and monitoring system support in metrics libraries, insights into the separation of application and runtime metrics, Jonathan's experience developing Micrometer at Netflix and Pivotal, current usage of Micrometer and prometheus in Modern's multi-tenant SaaS architecture, comparison of serverless and EC2-based deployments for different use cases, OpenRewrite's growing popularity in Europe

    Jonathan Schneider on twitter: @jon_k_schneider
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    1 hr and 11 mins
  • How the Java-Optimized Vega Chip Happened

    How the Java-Optimized Vega Chip Happened
    Aug 16 2024
    An airhacks.fm conversation with Gil Tene (@giltene) about: discussion of Azul Systems' Vega chip, a custom-designed processor optimized for Java workloads, Vega's architecture and features including multiple generations (Vega 1, 2, and 3), high core count (up to 54 cores per chip), custom instruction set, hardware-managed register windows, type-aware pointers for efficient method calls, fully symmetric multiprocessing with up to 16 chips (864 cores total), memory striping across controllers for even distribution, Hardware Transactional Memory support for concurrent Java operations, custom coherency and memory ordering instructions, comparison with contemporary processors from Intel and Sun, challenges in chip design and manufacturing, impact on Java performance and concurrency, evolution of the technology and its influence on modern processor designs, Gil Tene's role in developing the Vega chip and related software technologies at Azul Systems, Gil's blog: Stuff Gil Says

    Gil Tene on twitter: @giltene
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    43 mins
  • How Java HotSpot Compiler Happened

    How Java HotSpot Compiler Happened
    Aug 6 2024
    An airhacks.fm conversation with Cliff Click (@cliff_click) about: Cliff Click's early computer experiences with xerox mainframe and punch cards, learning fortran at a young age, programming on TRS-80 and other early microcomputers, developing a passion for compilers and optimization, pursuing a PhD in Computer Science at Rice University, inventing the sea of nodes compiler architecture, working at motorola and discovering Intel's benchmark cheating, joining Sun Microsystems to develop the Java HotSpot compiler, presenting groundbreaking Java performance improvements at JavaOne 2002, frustrations with Sun's management and development processes, moving to Azul Systems for custom Java hardware development, reflections on compiler research, the challenges of being a highly productive programmer in a team environment, analyzing bug rates and productivity metrics, the importance of writing new code for feature development, enjoying Java's "write once, run anywhere" philosophy, current involvement in compiler communities on Discord and Cliff Click on YouTube

    Cliff Click on twitter: @cliff_click
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    1 hr and 11 mins