Introduction to LLM

Total of 2 articles available. Currently on page 1 of 1.

3.1 LLM Training: Dataset Selection and Preprocessing Techniques

Learn about dataset selection and preprocessing techniques for training Large Language Models (LLMs). Explore steps like noise removal, tokenization, normalization, and data balancing for optimized model performance.

2024-09-12

2.1 Transformer Model Explained: Core Architecture of Large Language Models (LLM)

Discover the Transformer model, the backbone of modern Large Language Models (LLM) like GPT and BERT. Learn about its efficient encoder-decoder architecture, self-attention mechanism, and how it revolutionized Natural Language Processing (NLP).

2024-09-07

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SHO

CTO of Receipt Roller Inc., he builds innovative AI solutions and writes to make large language models more understandable, sharing both practical uses and behind-the-scenes insights.

Introduction to LLM

3.1 LLM Training: Dataset Selection and Preprocessing Techniques

2.1 Transformer Model Explained: Core Architecture of Large Language Models (LLM)

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