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Contenido proporcionado por Freddy Guime and Bob Paulin. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Freddy Guime and Bob Paulin o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Episode 105. Neurons, AI, and LLMs

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Contenido proporcionado por Freddy Guime and Bob Paulin. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Freddy Guime and Bob Paulin o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

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://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

  continue reading

108 episodios

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Episode 105. Neurons, AI, and LLMs

Java Pub House

2,149 subscribers

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iconCompartir
 
Manage episode 434050852 series 8374
Contenido proporcionado por Freddy Guime and Bob Paulin. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Freddy Guime and Bob Paulin o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

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://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

  continue reading

108 episodios

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