Gen AI Interview Bootcamp | Building Blocks Of Gen AI @Euron-official

Sign up with Euron today : https://euron.one/sign-up?ref=940C6863

Bootcamp link - https://euron.one/course/gen-ai-interview-bootcamp?ref=940C6863
Call or WhatsApp us at: +91 9019065931 / +91 9771695888.

One Student One Subscription
Euron Plus - https://euron.one/personal-plan/aa2904bd-b41c-407a-b912-9dd8c75d5637?ref=940C6863

Unlock the secrets of Generative AI in this comprehensive breakdown of "How Generative AI Works: From RNN to GPT Explained"! Whether you're stepping into the world of Machine Learning or advancing your Deep Learning knowledge, this video equips you with the tools to master the evolution of AI like never before.

📌 Here's what you'll learn:
- The foundational blocks of Generative AI: RNNs, LSTMs, and GRUs.
- A deep dive into attention mechanisms, self-attention, and the game-changing "Attention Is All You Need" paper.
- How GPT models, from GPT-2 to GPT-4, utilize multi-headed attention for advanced AI performance.
- Real-world applications of AI, including sentiment analysis, machine translation, chatbots, and predictive modeling.

💡 Don't just learn—get hired! Gain insights into cutting-edge AI architectures, enhance your portfolio with practical skills, and become job-ready for the future of tech.

Experience seamless understanding of complex AI concepts through clear explanations, relatable examples, and a step-by-step walkthrough of attention mechanisms and Transformer models. This is your chance to explore the architecture and impact of Large Language Models (LLMs) shaping the AI landscape today.

👉 Watch the full video now to transform the way you think about AI! Ready to take your expertise further? Join our programs and master generative AI concepts that drive real-world innovation.

Your journey to mastering Generative AI starts here. Let’s build the future of tech together!

#multimodalai #ainews #openai #naturallanguageprocessing #generativeai

CHAPTERS:
00:00 - Introduction
02:55 - Neural Network Basics
04:03 - Recurrent Neural Network (RNN) Overview
16:22 - Vanishing Gradient Problem Explained
17:10 - Exploding Gradient Problem Explained
24:46 - Long Short Term Memory (LSTM) Introduction
25:20 - LSTM Architecture Breakdown
28:44 - Understanding LSTM Gates
32:30 - Forget Gate Functionality
37:00 - Input Gate Functionality
38:20 - Cell State in LSTM
48:05 - Applications of LSTM
49:20 - LSTM vs RNN Comparison
53:14 - Gated Recurrent Unit (GRU) Overview
1:04:34 - Many to One Sequence Modeling
1:08:23 - Many to Many Sequence Modeling
1:10:43 - Sequence to Sequence Learning
1:11:13 - Stacked RNNs Explained
1:12:44 - Challenges with RNN, LSTM, and GRU
1:16:35 - Introduction to "Attention is All You Need"
1:20:28 - Problems Addressed by "Attention is All You Need"
1:22:30 - Understanding Transformer Architecture
1:26:40 - Semantics in Natural Language Processing
1:28:55 - Limitations of LSTM and GRU
1:30:45 - What is a Transformer?
1:31:23 - Input Embeddings in Transformers
1:34:24 - Positional Encoding Explained
1:37:45 - Multi-Headed Attention Mechanism
1:39:20 - Encoder and Decoder Functions
1:41:35 - Self Attention Mechanism Overview
1:46:10 - Calculating Attention Scores
1:48:04 - Query, Key, Value Vectors in Attention
1:52:51 - Establishing Relationships between Q and K
1:55:33 - Understanding Attention Scores
1:58:10 - Probability Calculation using Softmax
2:03:05 - Multi-Head Attention Explained
2:12:27 - Addition and Normalization Techniques
2:17:50 - Decoder Functionality in Transformers
2:23:04 - Training Architecture of GPT Explained
2:31:35 - Q & A Session
2:36:21 - Request for Transformer Discussion
2:37:41 - Importance of Coding Base GPT Model
2:38:35 - End of the Session

For any queries or counseling, feel free to call or WhatsApp us at: +91 9019065931 / +91 9771695888.

whatsapp channel - https://whatsapp.com/channel/0029VaeeJwq9RZAfPW9P2l07
Telegram channel - https://t.me/sudhanshu_official_euron

Видео Gen AI Interview Bootcamp | Building Blocks Of Gen AI @Euron-official канала sudhanshu kumar