Transformers

4 videos across 2 channels

Transformers are neural networks that excel at understanding sequences by using attention to weigh how and which tokens relate to one another, with multi-head attention capturing diverse relationships in context. They sit at the center of modern deep learning, powering large language models through self-supervised training, backpropagation, and often reinforcement learning with human feedback, while evolving from earlier CNNs and RNNs. This suite of ideas—token queries, keys, values, and scalable training—drives practical applications from text generation to code, analytics, and beyond, making transformers foundational for today’s AI systems.

Deep Learning Full Course 2026 [FREE] | Deep Learning Tutorial | Deep Learning Course | Simplilearn thumbnail
Simplilearn

Deep Learning Full Course 2026 [FREE] | Deep Learning Tutorial | Deep Learning Course | Simplilearn

This chapter introduces deep learning at a high level, explaining how neural networks learn from data, the relationship

08:32:56
How LLMs Work? | How Large Language Models Work | What Are LLMs? | LLMs Explained | Simplilearn thumbnail
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How LLMs Work? | How Large Language Models Work | What Are LLMs? | LLMs Explained | Simplilearn

The video explains that large language models like ChatGPT work by predicting the next word using probabilistic patterns

00:09:59
LLM Full Course 2026 | LLM Tutorial For Beginners | Introduction to LLM | LLM Training | Simplilearn thumbnail
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LLM Full Course 2026 | LLM Tutorial For Beginners | Introduction to LLM | LLM Training | Simplilearn

The video explains large language models (LLMs) from fundamentals to real-world deployment, starting with how LLMs learn

00:32:34

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Prompt engineering 60LLMs 32TensorFlow 9Large Language Models 6Neural Networks 6