What are the Large Language Models

Large Language Models are a specific category of AI models trained on large amounts of textual data to understand, generate, and interact in natural language. These models use deep learning architectures, such as Transformers (e.g., GPT, BERT), to analyze context and generate responses.

Characteristics of LLM:

• Trained on billions of parameters and enormous datasets.
• Capable of understanding complex linguistic nuances and responding realistically.
• Suitable for a variety of applications, such as creative writing, customer service, and text analysis.

Examples of LLM:

• GPT (like ChatGPT).
• BERT.
• LaMDA.