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Practical Introduction to Large Language Models (LLMs) – Full Series
Fine-Tuning BERT for Text Classification (w/ Example Code)

Fine-Tuning BERT for Text Classification (w/ Example Code)

Practical Introduction to Large Language Models (LLMs) – Full Series

الدرس السابق الدرس التالي

محتوى الكورس

جميع الدروس
23 درس
14:57 A Practical Introduction to Large Language Models (LLMs)
23:46 The OpenAI (Python) API | Introduction & Example Code
21:58 The Hugging Face Transformers Library | Example Code + Chatbot UI with Gradio
29:58 Prompt Engineering: How to Trick AI into Solving Your Problems
28:18 Fine-tuning Large Language Models (LLMs) | w/ Example Code
35:45 How to Build an LLM from Scratch | An Overview
00:17 A (Data) Entrepreneur's Guide to LLMs | TDE Workshop
47:45 3 Ways to Make a Custom AI Assistant | RAG, Tools, & Fine-tuning
36:58 QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code)
21:41 How to Improve LLMs with RAG (Overview + Python Code)
24:30 Text Embeddings, Classification, and Semantic Search (w/ Python Code)
24:12 Local LLM Fine-tuning on Mac (M1 16GB)
24:04 Compressing Large Language Models (LLMs) | w/ Python Code
23:24 Fine-Tuning BERT for Text Classification (w/ Example Code)
58:59 The Reality of Building AI Agents | TDE Podcast #10 - Nicolay Gerold
51:17 How to Build End-to-End LLM Solutions | TDE Podcast #11 - Paul Iusztin & Maxime Labonne
50:08 Building Production-Grade RAG Apps | TDE Podcast #12 - Jason Liu
33:18 How to Train LLMs to "Think" (o1 & DeepSeek-R1)
28:53 Fine-tuning LLMs on Human Feedback (RLHF + DPO)
27:19 How to Evaluate (and Improve) Your LLM Apps
12:48 Your LLM Prompts Suck... here's how to fix them.
17:23 How to Improve LLM Apps with Error Analysis
29:53 How to Improve AI Apps with (Automated) Evals