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.
Java Pub House
Claim This Podcastby Freddy Guime & Bob Paulin
4.8(65 reviews)
108 episodes
Updated Bi-weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
51
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality64
Social0
YouTube0
Engagement96
Podcast Overview
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.
Language
🇺🇲
Publishing Since
9/23/2011
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51
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality64
Social0
YouTube0
Engagement96
6
Excellent Areas
2
Good Performance
11
Growth Opportunities
excellent
Episode Length
14 minutes
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good
Show Notes Quality
3.0/5
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Publishing Consistency
Every 45 days
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Recent Episodes
February 26, 2025
Episode 106. Spring AI and Ollama
<p>Yes, 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 great episode to dive into!</p> <p>http://www.javapubhouse.com/datadog<br /> We thank DataDogHQ for sponsoring this podcast episode</p> <p><br /> Don't forget to SUBSCRIBE to our cool NewsCast OffHeap!<br /> http://www.javaoffheap.com/</p> <p><br /> - https://spring.io/projects/spring-ai<br /> - https://ollama.com/<br /> - https://www.baeldung.com/spring-ai<br /> - https://www.youtube.com/playlist?list=PLZV0a2jwt22uoDm3LNDFvN6i2cAVU_HTH<br /> - https://ollama.com/library/llama3</p> <p><br /> Do you like the episodes? Want more? Help us out! Buy us a beer!<br /> https://www.javapubhouse.com/beer</p> <p>And Follow us! <br /> https://www.twitter.com/javapubhouse</p> <p>in Bluesky as well!<br /> https://bsky.app/profile/pubhouse.net</p> <p> </p>
August 13, 2024
Episode 105. Neurons, AI, and LLMs
<p>Allright, 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 principles of AI and LLM! The field is so vast, intersting and more importantly it's going to be here to stay. So take a listen and keep learning on this new tool we should all be familiar with!</p> <p>http://www.javapubhouse.com/datadog<br /> We thank DataDogHQ for sponsoring this podcast episode</p> <p><br /> Don't forget to SUBSCRIBE to our cool NewsCast OffHeap!<br /> http://www.javaoffheap.com/</p> <p><br /> - <a href= "https://ollama.com/library/llama3.1/blobs/f1cd752815fc">https://ollama.com/library/llama3.1/blobs/f1cd752815fc</a><br /> - <a href="https://onnx.ai/">https://onnx.ai/</a><br /> - <a href= "https://partee.io/2022/08/11/vector-embeddings/">https://partee.io/2022/08/11/vector-embeddings/</a><br /> - <a href= "https://codelabs.milvus.io/vector-database-101-introduction-to-unstructured-data"> https://codelabs.milvus.io/vector-database-101-introduction-to-unstructured-data</a><br /> - <a href= "https://www.guru99.com/backpropogation-neural-network.html">https://www.guru99.com/backpropogation-neural-network.html</a><br /> - <a href= "https://deeplearning4j.konduit.ai/">https://deeplearning4j.konduit.ai/</a><br /> - <a href= "https://spring.io/projects/spring-ai">https://spring.io/projects/spring-ai</a><br /> - <a href= "https://medium.com/data-science-at-microsoft/how-large-language-models-work-91c362f5b78f"> https://medium.com/data-science-at-microsoft/how-large-language-models-work-91c362f5b78f</a><br /> - <a href= "https://www.v7labs.com/blog/neural-network-architectures-guide">https://www.v7labs.com/blog/neural-network-architectures-guide</a></p> <p><br /> Do you like the episodes? Want more? Help us out! Buy us a beer!<br /> <a href= "https://www.javapubhouse.com/beer">https://www.javapubhouse.com/beer</a></p> <p>And Follow us! <br /> <a href= "https://www.twitter.com/javapubhouse">https://www.twitter.com/javapubhouse</a></p>
April 19, 2024
Episode 104. It's all about Apache Tika, the project that lets you index EVERYTHING.
<p>So 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, like emails, or documents, and you want to extract, index and then search theses. This is Tika's purpose. And who best to walk us through how it does its magic that its Project Management Committee (PMC) Chair, Tim Allison!</p> <p>So take a listen as we go deeper on ingesting tons of content (which is fundamental for things like training LLMs).</p> <p>http://www.javapubhouse.com/datadog<br /> We thank DataDogHQ for sponsoring this podcast episode</p> <p><br /> Don't forget to SUBSCRIBE to our cool NewsCast OffHeap!<br /> http://www.javaoffheap.com/</p> <p>Apache Tika<br /> * https://tika.apache.org/</p> <p>OpenSearch Project and OpenSearch Neural Plugin Tutorials<br /> * https://opensearch.org/<br /> * https://opensearch.org/docs/latest/search-plugins/neural-search/<br /> * https://opster.com/guides/opensearch/opensearch-machine-learning/how-to-set-up-vector-search-in-opensearch/ <br /> * https://opster.com/guides/opensearch/opensearch-machine-learning/opensearch-hybrid-search/<br /> * https://sease.io/2024/01/opensearch-knn-plugin-tutorial.html<br /> * https://sease.io/2024/04/opensearch-neural-search-tutorial-hybrid-search.html</p> <p>Selected Advanced File Processing toolkits/services<br /> * https://unstructured.io/<br /> * https://aws.amazon.com/textract/<br /> * https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence</p> <p>Selected Hybrid Search/RAG toolkits (there are _MANY_ others!)<br /> * Haystack: https://haystack.deepset.ai/<br /> * LangChain: https://www.langchain.com/<br /> * LangStream: https://langstream.ai/</p> <p>Search/Relevance Conferences<br /> * https://haystackconf.com/<br /> * https://2024.berlinbuzzwords.de/<br /> * https://mices.co/</p> <p>Tim's personal project<br /> * JavaFX (ahem) tika-config writer UI: https://github.com/tballison/tika-gui-v2</p> <p><br /> Do you like the episodes? Want more? Help us out! Buy us a beer!<br /> https://www.javapubhouse.com/beer</p> <p>And Follow us! <br /> https://www.twitter.com/javapubhouse</p>
108 total episodes available
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Frequently asked questions
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- What is Java Pub House?
- How often does this podcast release new episodes?
This podcast updates bi-weekly.
- Where can I listen to this podcast?
This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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