Understanding Large Language Models
Large Language Models (LLMs) are a rapidly evolving area of artificial intelligence. They are trained on massive datasets of text and code, allowing them to generate human-like text, translate languages, answer questions, and more. This article will provide a foundational understanding of LLMs, including their architecture, training methods, and potential applications.
Key Concepts
- Transformers: The core architecture behind most modern LLMs, enabling parallel processing and attention mechanisms.
- Pre-training: The initial training phase on vast amounts of data.
- Fine-tuning: Adapting a pre-trained model to a specific task or domain.
LLMs are transforming various industries, from software development and content creation to customer service and research. Continue exploring to deepen your knowledge.
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