Introduction to LLM

Total of 8 articles available. Currently on page 1 of 1.

4.2 Enhancing Customer Support with LLM-Based Question Answering Systems

Discover how Question Answering Systems powered by Large Language Models (LLMs) are transforming customer support, search engines, and specialized fields with high accuracy and flexibility.
2024-09-25

4.3 LLMs in Translation and Summarization: Enhancing Multilingual Communication

Learn how Large Language Models (LLMs) leverage Transformer architectures for accurate translation and summarization, improving efficiency in business, media, and education.
2024-09-18

4.1 Exploring LLM Text Generation: Applications, Use Cases, and Future Trends

Learn how Large Language Models (LLMs) are applied in text generation for content creation, email drafting, creative writing, and chatbots. Discover the mechanics behind text generation and its real-world applications.
2024-09-16

4.0 Applications of LLMs: Text Generation, Question Answering, Translation, and Code Generation

Discover how Large Language Models (LLMs) are used across various NLP tasks, including text generation, question answering, translation, and code generation. Learn about their practical applications and benefits.
2024-09-15

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

3.0 How to Train Large Language Models (LLMs): Data Preparation, Steps, and Fine-Tuning

Learn the key techniques for training Large Language Models (LLMs), including data preprocessing, forward and backward propagation, fine-tuning, and transfer learning. Optimize your model’s performance with efficient training methods.
2024-09-11

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

1.2 The Role of Large Language Models (LLMs) in Natural Language Processing (NLP)

Discover the impact of Large Language Models (LLMs) on natural language processing tasks. Learn how LLMs excel in text generation, question answering, translation, summarization, and even code generation.
2024-09-04

Category

Tags

Search History

Authors

SHO

As the CEO and CTO of Receipt Roller Inc., I lead the development of innovative solutions like our digital receipt service and the ACTIONBRIDGE system, which transforms conversations into actionable tasks. With a programming career spanning back to 1996, I remain passionate about coding and creating technologies that simplify and enhance daily life.