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Episode 105. Neurons, AI, and LLMs

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Contenuto fornito da Freddy Guime and Bob Paulin. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Freddy Guime and Bob Paulin o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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 episodi

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Episode 105. Neurons, AI, and LLMs

Java Pub House

2,149 subscribers

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iconCondividi
 
Manage episode 434050852 series 8374
Contenuto fornito da Freddy Guime and Bob Paulin. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Freddy Guime and Bob Paulin o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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 episodi

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