Introduction to LLMs Transformer,Attention, Deepseek pytorch

How does LLMs works, Understand Concept & Coding of Transformer,Attention, Deepseek using pytorch Python
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English
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Data Science
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Introduction to LLMs Transformer,Attention, Deepseek pytorch
59
students
4 hours
content
Jun 2025
last update
$19.99
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Why take this course?

🚀 Course Headline: unlock the Secrets of LLMs: Master Transformers & Attention Mechanisms with Pytorch 🧠✨


📗 Course Title: Introduction to LLMs, Transformer, Attention, DeepSeek using PyTorch


🚀 Course Description:

Welcome to the world of state-of-the-art language processing! If you've ever wondered how AI models like ChatGPT or DeepSeek understand and generate human-like text, this is the course for you. 🤖➡️🧠

Course Structure:

  1. Understanding Attention Mechanisms (🌟 Core Concept):

    • Learn how attention lets models focus on what's truly important in text.
    • Discover the role of attention in enhancing context understanding.
  2. Exploring Transformers (🌟 Key Framework):

    • Dive into transformers, the architectural marvel behind modern LLMs.
    • Understand how parallel processing makes transformers so efficient.
  3. Decoding Self-Attention & Multi-Head Attention:

    • Get to grips with self-attention and why it's crucial for grasping context.
    • Unravel the mystery of multi-head attention and its impact on model performance.
  4. Going Beyond Basics: DeepSeek (🌟 Advanced Topic):

    • Explore DeepSeek, a pioneering open-weight LLM.
    • Analyze how DeepSeek optimizes attention for peak efficiency and performance.
  5. Coding with Pytorch:

    • Put theory into practice by implementing your knowledge using PyTorch.
    • Build and fine-tune models, gaining hands-on experience with real-world applications.

Why Take This Course?

  • Gain a deep understanding of LLMs from the ground up.
  • Learn how attention mechanisms and transformers revolutionize NLP.
  • Discover the inner workings of advanced models like DeepSeek.
  • Enhance your coding skills with PyTorch, a leading deep learning library.
  • Prepare to apply these concepts to create your own AI solutions.

🎉 By the End of This Course: You'll have a comprehensive grasp of LLMs and be ready to dive into complex topics in AI and NLP. Whether you aim to enhance existing models or create new ones, this course is your stepping stone to mastering cutting-edge AI technologies with PyTorch.

📅 Join Now & Transform Your AI Knowledge! Embark on a journey through the intricate world of LLMs and transformers. With expert guidance and practical exercises in PyTorch, you'll be well on your way to becoming an AI connoisseur. Let's decipher the secrets of natural language understanding together! 🛠️📚🚀

Course Gallery

Introduction to LLMs Transformer,Attention, Deepseek pytorch – Screenshot 1
Screenshot 1Introduction to LLMs Transformer,Attention, Deepseek pytorch
Introduction to LLMs Transformer,Attention, Deepseek pytorch – Screenshot 2
Screenshot 2Introduction to LLMs Transformer,Attention, Deepseek pytorch
Introduction to LLMs Transformer,Attention, Deepseek pytorch – Screenshot 3
Screenshot 3Introduction to LLMs Transformer,Attention, Deepseek pytorch
Introduction to LLMs Transformer,Attention, Deepseek pytorch – Screenshot 4
Screenshot 4Introduction to LLMs Transformer,Attention, Deepseek pytorch

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6496233
udemy ID
02/03/2025
course created date
11/03/2025
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