Java Pub House

About 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.

Publisher

Freddy Guime & Bob Paulin

Category

technology

Language

en

Explicit

No

First episode

23 Sept 2011

Latest episode

26 Feb 2025

Latest episodes

108 episodes in the feed.

1. 

   26 Feb 2025

   Episode 106. Spring AI and Ollama

   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! http://www.javapubhouse.com/datadog We thank DataDogHQ for sponsoring this podcast episode Don't forget to SUBSCRIBE to our cool NewsCast OffHeap! http://www.javaoffheap.com/ - https://spring.io/projects/spring-ai - https://ollama.com/ - https://www.baeldung.com/spring-ai - https://www.youtube.com/playlist?list=PLZV0a2jwt22uoDm3LNDFvN6i2cAVU_HTH - https://ollama.com/library/llama3 Do you like the episodes? Want more? Help us out! Buy us a beer! https://www.javapubhouse.com/beer And Follow us! https://www.twitter.com/javapubhouse in Bluesky as well! https://bsky.app/profile/pubhouse.net

2. 

   13 Aug 2024

   Episode 105. Neurons, AI, and LLMs

   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! http://www.javapubhouse.com/datadog We thank DataDogHQ for sponsoring this podcast episode Don't forget to SUBSCRIBE to our cool NewsCast OffHeap! http://www.javaoffheap.com/ - https://ollama.com/library/llama3.1/blobs/f1cd752815fc - https://onnx.ai/ (https://onnx.ai/) - https://partee.io/2022/08/11/vector-embeddings/ - https://codelabs.milvus.io/vector-database-101-introduction-to-unstructured-data - https://www.guru99.com/backpropogation-neural-network.html - https://deeplearning4j.konduit.ai/ - https://spring.io/projects/spring-ai - https://medium.com/data-science-at-microsoft/how-large-language-models-work-91c362f5b78f - https://www.v7labs.com/blog/neural-network-architectures-guide Do you like the episodes? Want more? Help us out! Buy us a beer! https://www.javapubhouse.com/beer And Follow us! https://www.twitter.com/javapubhouse

3. 

   19 Apr 2024

   Episode 104. It's all about Apache Tika, the project that lets you index EVERYTHING.

   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! So take a listen as we go deeper on ingesting tons of content (which is fundamental for things like training LLMs). http://www.javapubhouse.com/datadog We thank DataDogHQ for sponsoring this podcast episode Don't forget to SUBSCRIBE to our cool NewsCast OffHeap! http://www.javaoffheap.com/ Apache Tika * https://tika.apache.org/ OpenSearch Project and OpenSearch Neural Plugin Tutorials * https://opensearch.org/ * https://opensearch.org/docs/latest/search-plugins/neural-search/ * https://opster.com/guides/opensearch/opensearch-machine-learning/how-to-set-up-vector-search-in-opensearch/ * https://opster.com/guides/opensearch/opensearch-machine-learning/opensearch-hybrid-search/ * https://sease.io/2024/01/opensearch-knn-plugin-tutorial.html * https://sease.io/2024/04/opensearch-neural-search-tutorial-hybrid-search.html Selected Advanced File Processing toolkits/services * https://unstructured.io/ * https://aws.amazon.com/textract/ * https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence Selected Hybrid Search/RAG toolkits (there are _MANY_ others!) * Haystack: https://haystack.deepset.ai/ * LangChain: https://www.langchain.com/ * LangStream: https://langstream.ai/ Search/Relevance Conferences * https://haystackconf.com/ * https://2024.berlinbuzzwords.de/ * https://mices.co/ Tim's personal project * JavaFX (ahem) tika-config writer UI: https://github.com/tballison/tika-gui-v2 Do you like the episodes? Want more? Help us out! Buy us a beer! https://www.javapubhouse.com/beer And Follow us! https://www.twitter.com/javapubhouse

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

4.8 / 5

46 ratings

Spotify

4.7 / 5

19 ratings

Podcast Authority Score: 51 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

64

Social presence

0

YouTube

0

Engagement

96

Contact Java Pub House

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.