Large Language Model Tutorial Series: 30 Step-by-Step Lessons [FREE][2024]
Updated weekly — 08.01.2024
- Links are inserted after the articles are published on Medium.
- 1 or 2 articles are published every week.
- Links are updated weekly.
- The links are Friend Links, so you can read without being a Medium member.
- LLM Tutorial 1 — Introduction to Large Language Models
- LLM Tutorial 2 — Understanding Language Model Architectures
- LLM Tutorial 3 — Preprocessing and Tokenization Techniques
- LLM Tutorial 4 — The Transformer Model and Self-Attention
- LLM Tutorial 5 — BERT: Bidirectional Encoder Representations from Transformers
- LLM Tutorial 6 — GPT: Generative Pre-trained Transformers
- LLM Tutorial 7 — Fine-Tuning BERT for Specific Tasks
- LLM Tutorial 8 — GPT-2 and GPT-3: Advancements and Applications
- LLM Tutorial 9 — RoBERTa: Robustly Optimized BERT Pretraining
- LLM Tutorial 10 — T5: Text-to-Text Transfer Transformer
- LLM Tutorial 11 — DistilBERT: Distilled BERT for Efficiency
- LLM Tutorial 12 — ELECTRA: Efficiently Learning an Encoder
- LLM Tutorial 13 — ALBERT: A Lite BERT for Self-Supervised Learning
- LLM Tutorial 14 — XLNet: Generalized Autoregressive Pretraining
- LLM Tutorial 15 — Language Model Datasets and Pretraining
- LLM Tutorial 16 — Transfer Learning in Large Language Models
- LLM Tutorial 17 — Zero-Shot Learning and Few-Shot Learning
- LLM Tutorial 18 — Prompt Engineering for Language Models
- LLM Tutorial 19 — Fine-Tuning Strategies for Large Language Models
- LLM Tutorial 20 — Deployment and Inference with Large Language Models
- LLM Tutorial 21 — Model Compression Techniques: Quantization, Pruning
- LLM Tutorial 22 — Large Language Models for NLP Tasks
- LLM Tutorial 23 — Large Language Models for Text Generation
- LLM Tutorial 24 — Large Language Models for Translation
- LLM Tutorial 25 — Large Language Models for Sentiment Analysis
- LLM Tutorial 26 — Large Language Models for Question-Answering
- LLM Tutorial 27 — Large Language Models for Summarization
- LLM Tutorial 28 — Multilingual and Cross-Lingual Language Models
- LLM Tutorial 29 — Ethical Considerations of Large Language Models
- LLM Tutorial 30 — Future Directions and Challenges in Large Language Models
Here are other tutorial series:
Python Tutorial Series: 50 Step-by-Step Lessons [FREE][2024]
Machine Learning Tutorial Series: 50 Step-by-Step Lessons [FREE][2024]
Deep Learning Tutorial Series: 50 Step-by-Step Lessons [FREE][2024]
Subscribe for FREE to get your 42 pages e-book: Data Science | The Comprehensive Handbook
