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Udemy - Generative AI Fundamentals - LLMs, Prompts and Transformers

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Udemy - Generative AI Fundamentals - LLMs, Prompts and Transformers (Size: 850 MB)
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  01_Setup_Colab_and_Python.ipynb 178.7 KB
  1. Introduction to Gen AI.mp4 3.2 MB
  1. Knowing the basics about LLM's.html 21.7 KB
  10. Bolts and Nuts of Transformers - Attention!!!.mp4 19 MB
  11. Taking a dig into Attention Mechanism.mp4 42.2 MB
  12. Diving deep into the Anatomy of Transformers- Tokens.mp4 48.9 MB
  13. Impact of Tokens - Seems small has greater difference.mp4 12.5 MB
  14. Embeddings - Building Context.mp4 66.9 MB
  15. Semantic Space Analogy.mp4 5.6 MB
  16. Understanding - What is a good Embedding.mp4 19.6 MB
  17. Know What to give & expect what you want - Prompts.mp4 67.4 MB
  18. Prompts - Examples.mp4 7.4 MB
  19. 01_Setup_Colab_and_Python.ipynb.bin 178.7 KB
  19. Lab1 Setting up and knowing about Hugging Face.mp4 226.5 MB
  2. Evolution of Generative AI.mp4 12.4 MB
  20. 02_HuggingFace_Basics.ipynb.bin 4.3 KB
  20. Huggingfaceconnect.py 204.8 B
  20. Lab 2 Hugging Face Pipeline Vs Manual Loading.mp4 131.7 MB
  21. 03_Loading_Open_Source_Models.ipynb.bin 7.3 KB
  21. Lab 3 Open Source Models.mp4 81 MB
  21. Open Source Models.url 102.4 B
  3. Generative AI Vs Traditional AI.mp4 10.5 MB
  4. Why Generative AI Matters, Brain behind this Evolution.mp4 32.6 MB
  5. Introduction to Large Language Models.mp4 13.8 MB
  6. Higher Level Ecosystem of LLM's.mp4 19.6 MB
  7. LLM Limitations and Challenges.mp4 12.8 MB
  8. LLM's Transformer Breakthrough.mp4 11.3 MB
  9. Anatomy of Transformer.mp4 4.7 MB
  Basic -Lab setup and Using Hugging face.html 1.4 KB
  Bonus Resources.txt 102.4 B

Description


Generative AI Fundamentals – LLMs, Prompts & Transformers
https://WebToolTip.com
Published 10/2026

Created by A Helen Victoria

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Level: Beginner | Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 26m ) | Size: 850 MB
A beginner-friendly guide to understanding Generative AI, prompting techniques, LLMs, and Transformer models.
What you'll learn

⚡ Explain the evolution of Artificial Intelligence from Machine Learning to Large Language Models.

⚡ Understand the internal architecture of transformer models

⚡ Design effective prompts using Zero-shot, One-shot, Few-shot, and Chain-of-Thought techniques.

⚡ Generate embeddings using Sentence Transformers.

⚡ Build complete RAG pipelines.

⚡ Understand Supervised Fine-Tuning (SFT)

⚡ Evaluate LLM performance using BLEU, ROUGE, BERTScore, and LLM-as-a-Judge.
Requirements

❗ Basic computer knowledge Basic Python programming (recommended but not mandatory) Internet connection Google account for Google Colab Laptop/Desktop (Windows, Linux, or macOS) No prior experience with Generative AI is required No GPU is required (Google Colab Free will be used) Enthusiasm to build real-world AI applications

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