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Large Language Models Course from Deep Learning an Overview

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Manage episode 460941356 series 3629276
Content provided by Muammar Lone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Muammar Lone or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

This podcast delves into the fascinating world of Large Language Models (LLMs) powerful AI systems revolutionizing how we interact with language. It explores their intricate architecture, highlighting components like Transformers and Attention Mechanisms. The podcast also covers the massive scale of LLM training and diverse applications, from text generation and translation to question answering and code generation. Crucially, it addresses the ethical considerations surrounding bias, misinformation, and societal impact, along with future directions in the field.

  continue reading

36 episodes

Artwork
iconShare
 
Manage episode 460941356 series 3629276
Content provided by Muammar Lone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Muammar Lone or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

This podcast delves into the fascinating world of Large Language Models (LLMs) powerful AI systems revolutionizing how we interact with language. It explores their intricate architecture, highlighting components like Transformers and Attention Mechanisms. The podcast also covers the massive scale of LLM training and diverse applications, from text generation and translation to question answering and code generation. Crucially, it addresses the ethical considerations surrounding bias, misinformation, and societal impact, along with future directions in the field.

  continue reading

36 episodes

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