محتوى الدورة
⚙️ Initializing a Model with Pretrained Weights – Live Coding with Sebastian Raschka (Chapter 6.4) 🤖 Using GPT to Generate Text – Live Coding with Sebastian Raschka (Chapter 5.1.1) 📉 Calculating Text Generation Loss – Live Coding with Sebastian Raschka (Chapter 5.1.2) 📊 Training & Validation Loss – Live Coding with Sebastian Raschka (Chapter 5.1.3) 🚀 Training a Large Language Model – Live Coding with Sebastian Raschka (Chapter 5.2) 🌡️ Temperature Scaling in Text Generation – Live Coding with Sebastian Raschka (Chapter 5.3.1) 🔝 Top-k Sampling for Text Generation – Live Coding with Sebastian Raschka (Chapter 5.3.2) 🛠️ Modifying the Text Generation Function – Live Coding with Sebastian Raschka (Chapter 5.3.3) 💾 Loading and Saving Model Weights in PyTorch – Live Coding with Sebastian Raschka (Chapter 5.4) 🧠 Loading Pretrained Weights from OpenAI – Live Coding with Sebastian Raschka (Chapter 5.5) 📂 Preparing the Dataset – Live Coding with Sebastian Raschka (Chapter 6.2) 📦 Creating Data Loaders – Live Coding with Sebastian Raschka (Chapter 6.3) ✍️ Generating Text with a GPT Model – Live Coding with Sebastian Raschka (Chapter 4.7) 🏷️ Adding a Classification Head – Live Coding with Sebastian Raschka (Chapter 6.5) 📊 Calculating Classification Loss and Accuracy – Live Coding with Sebastian Raschka (Chapter 6.6) 🛠️ Fine-Tuning the Model on Supervised Data – Live Coding with Sebastian Raschka (Chapter 6.7) 📨 Using the LLM as a Spam Classifier – Live Coding with Sebastian Raschka (Chapter 6.8) 🧾 Preparing a Dataset for Instruction Fine-Tuning – Live Coding with Sebastian Raschka (Chapter 7.2) 📦 Organizing Data into Training Batches – Live Coding with Sebastian Raschka (Chapter 7.3) 🔄 Creating Data Loaders for an Instruction Dataset – Live Coding w/ Sebastian Raschka (Chapter 7.4) 📥 Loading a Pretrained LLM – Live Coding with Sebastian Raschka (Chapter 7.5) 🧠 Fine-Tuning the LLM on Instruction Data – Live Coding with Sebastian Raschka (Chapter 7.6) 💬 Extracting and Saving Responses – Live Coding with Sebastian Raschka (Chapter 7.7) ✅ Evaluating the Fine-Tuned LLM – Live Coding with Sebastian Raschka (Chapter 7.8) 🚫 Applying a Causal Attention Mask – Live Coding with Sebastian Raschka (Chapter 3.5.1) 🔤 Tokenizing Text - Live Coding with Sebastian Raschka (Chapter 2.2) 🔢 Convert Tokens into Token IDs - Live Coding with Sebastian Raschka (Chapter 2.3) 🔖 Adding Special Context Tokens - Live Coding with Sebastian Raschka (Chapter 2.4) 🔗 Byte Pair Encoding (BPE) – Live Coding with Sebastian Raschka (Chapter 2.5) 📚 Data Sampling with a Sliding Window – Live Coding with Sebastian Raschka (Chapter 2.6) 🧠 Creating Token Embeddings – Live Coding with Sebastian Raschka (Chapter 2.7) 📐 Encoding Word Positions – Live Coding with Sebastian Raschka (Chapter 2.8) 🧮 A Simple Self-Attention Mechanism – Live Coding w/ Sebastian Raschka (3.3.1.) 🎯 Computing Attention Weights – Live Coding with Sebastian Raschka (Transformer Mechanics Explained) 🧠 Step-by-Step Guide to Computing Attention Weights – Live Coding w/ Sebastian Raschka (Ch. 3.4.1) 🧱 Implementing a Compact Self-Attention Class – Live Coding with Sebastian Raschka (Chapter 3.4.2) 🔧 Live Coding with Sebastian Raschka: Python Environment Setup for Building LLMs 🛡️ Masking Additional Attention Weights with Dropout – Live Coding w/ Sebastian Raschka (Ch. 3.5.2) 🔒 Implementing a Compact Causal Self-Attention Class – Live Coding w/ Sebastian Raschka (Ch. 3.5.3) 🧱 Stacking Multiple Single-Head Attention Layers – Live Coding w Sebastian Raschka (Ch. 3.6.1) 🧠 Multi-Head Attention with Weight Splits – Live Coding with Sebastian Raschka (Chapter 3.6.2) 🏗️ Coding an LLM Architecture – Live Coding with Sebastian Raschka (Chapter 4.1) 🧮 Layer Normalization in Transformers – Live Coding with Sebastian Raschka (Chapter 4.2) ⚡ Implementing a feed forward network with GELU – Live Coding with Sebastian Raschka (Chapter 4.3) 🔁 Adding Shortcut Connections – Live Coding with Sebastian Raschka (Chapter 4.4) 🔗 Connecting Attention & Linear Layers – Live Coding w/ Sebastian Raschka (Chapter 4.5) 🧠 Coding the GPT Model – Live Coding with Sebastian Raschka (Chapter 4.6)

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