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Let's build GPT: from scratch, in code, spelled out.
Session 8: LLM Architecture - BERT
BERT Neural Network - EXPLAINED!
Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!!
BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token
ModernBERT - Modern Replacement for BERT | RAG, Embeddings, Classification, Reranking
Transformers, explained: Understand the model behind GPT, BERT, and T5
Transformer models and BERT model: Overview
BERT and GPT in Language Models like ChatGPT or BLOOM | EASY Tutorial on Large Language Models LLM
Fine-Tuning BERT for Text Classification (w/ Example Code)
Diffusion Language Models - Turning ModernBERT into an instruct-tuned Diffusion LLM
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Last Updated: October 17, 2026
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Welcome back! In this video, we'll dive deep into Deciding whether to use a Large Language Model or a smaller model? This video explores the tradeoffs between both ... google colab link colab.research.google.com/drive/1xyaAMav_gTo_KvpHrO05zWFhmUaILfEd?usp=sharing ... We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 ... Encoder-Only Transformers are the backbone for RAG (retrieval augmented generation), sentiment analysis and classification ... ModernBERT is a drop-in replacement for the original Dale's Blog → goo.gle/3xOeWoK Classify text with Watch this video to learn about the Transformer architecture and the Bidirectional Encoder Representations from Transformers ... Transformer-based self-supervised Language Models explained: Connect on LinkedIn: linkedin.com/in/shawhintalebi/ In this video, I walk through how to fine-tune Inference notebook: colab.research.google.com/drive/1hMV0OBpmJL7L5yIEtkeeUz-7rB1buFmg?usp=sharing Training ...