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#2 Do You Really Understand How LLMs Work?

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Manage episode 471478659 series 3652736
Content provided by Emkan Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Emkan Group 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.

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🚀 In this episode of ALOGMINDS, we dive deep into the fascinating world of Large Language Models (LLMs)—the AI-driven engines behind text generation, chatbots, and more.

💡 What You’ll Discover:
How LLMs Work – From Transformers to autoregressive models, we break down the magic behind AI-generated text.
The Evolution of AI Language Models – Explore the difference between LMs, Pretrained Language Models (PLMs), and advanced LLMs like GPT-3.5.
Text Generation Techniques – Learn about top-k sampling, temperature scaling, and how AI balances creativity with accuracy.
Training & Fine-Tuning – Discover how these models learn, adapt, and improve using self-supervised training, fine-tuning, and Reinforcement Learning from Human Feedback (RLHF).
Interpretability & Challenges – Can we really understand how AI thinks? We discuss the challenges of explaining AI decisions and methods like SHAP and attention analysis.
Applications & Risks – From coding assistants to misinformation, we explore the powerful use cases and ethical concerns of LLMs.

🎙️ Tune in now to ALOGMINDS and unlock the secrets of AI language models!

#ALOGMINDS #Podcast #AI #ArtificialIntelligence #LLM #MachineLearning #TechTalk #DeepLearning #Innovation #FutureTech #GPT #NLP #AIExplained

If this sparked new ideas for you, don’t keep it to yourself—share it with a friend or on social media and tag us.
And if you enjoyed the show, leave a review—it helps us grow and bring you even more mind-expanding conversations.
Thanks for tuning in, and we’ll see you in the next episode!

  continue reading

18 episodes

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iconShare
 
Manage episode 471478659 series 3652736
Content provided by Emkan Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Emkan Group 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.

Send us a text

🚀 In this episode of ALOGMINDS, we dive deep into the fascinating world of Large Language Models (LLMs)—the AI-driven engines behind text generation, chatbots, and more.

💡 What You’ll Discover:
How LLMs Work – From Transformers to autoregressive models, we break down the magic behind AI-generated text.
The Evolution of AI Language Models – Explore the difference between LMs, Pretrained Language Models (PLMs), and advanced LLMs like GPT-3.5.
Text Generation Techniques – Learn about top-k sampling, temperature scaling, and how AI balances creativity with accuracy.
Training & Fine-Tuning – Discover how these models learn, adapt, and improve using self-supervised training, fine-tuning, and Reinforcement Learning from Human Feedback (RLHF).
Interpretability & Challenges – Can we really understand how AI thinks? We discuss the challenges of explaining AI decisions and methods like SHAP and attention analysis.
Applications & Risks – From coding assistants to misinformation, we explore the powerful use cases and ethical concerns of LLMs.

🎙️ Tune in now to ALOGMINDS and unlock the secrets of AI language models!

#ALOGMINDS #Podcast #AI #ArtificialIntelligence #LLM #MachineLearning #TechTalk #DeepLearning #Innovation #FutureTech #GPT #NLP #AIExplained

If this sparked new ideas for you, don’t keep it to yourself—share it with a friend or on social media and tag us.
And if you enjoyed the show, leave a review—it helps us grow and bring you even more mind-expanding conversations.
Thanks for tuning in, and we’ll see you in the next episode!

  continue reading

18 episodes

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