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108 Episoden
Episode 106. Spring AI and Ollama
26.02.2025Yes, this is the great episode where we dive and RUN these crazy LLMs in our own computer, and not just that, we use Java to interact with them! So if you ever wanted to start experimenting with these llms, but didn't know where to start, this is the...Episode 105. Neurons, AI, and LLMs
14.08.2024Allright, it is time to pull the curtain on all this AI stuff and really learn how it works! On this episode we dive deep into AI, and Neural Networks, refinenements, vector databases (and why we need them) so you can understand the underlying...Episode 104. It’s all about Apache Tika, the project that lets you index EVERYTHING.
19.04.2024So we continue to have guests in our show to talk to us about interesting things... This time is about Apache Tika. This is an incredible tool to do search file processing and metadata extraction. Think about that you have tons of unstructured files,...Episode 103. Let’s share data cross-language with Apache Arrow! (among other things)
19.03.2024We have a great time talking to Matt Topol from Voltron Data on one of his Apache Software Foundation projects called Apache Arrow. It's both a spec and implementation of a columnar data format that is not only efficient, but cross-language...Episode 102. Oh my… Spring Boot 3 is out! An interview with Dan Vega from the Pivotal Team!
16.02.2023Ok, so it's an incredible time to be in the Java Ecosystem, and one of the biggest frameworks out there just dropped their three-point-oh version! That's right! So Spring Boot is not officially 3.0, and it has as a Baseline Java 17! (oohh!!). So we...
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Über Java Pub House
This podcast talks about how to program in Java; not your tipical system.out.println("Hello world"), but more like real issues, such as O/R setups, threading, getting certain components on the screen or troubleshooting tips and tricks in general. The format is as a podcast so that you can subscribe to it, and then take it with you and listen to it on your way to work (or on your way home), and learn a little bit more (or reinforce what you knew) from it.
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