ट्रांसफॉर्मर आर्किटेक्चर -Episode 5: The Transformer Architecture

This video will explore the inner workings of the transformer as described in the sources, specifically drawing from Jay Alammar's insights in Hands-On Large Language Models
. It will explain the concept of autoregressive generation—where the model predicts text one token at a time—and break down the physical components of the architecture: the tokenizer, the stack of transformer blocks (including self-attention), and the language modeling head
. The video will also touch on the critical topic of responsible LLM use, covering concerns like bias, transparency, and intellectual property
.

Видео ट्रांसफॉर्मर आर्किटेक्चर -Episode 5: The Transformer Architecture канала dotnetcs