Task-Specific Large Language Models Using Distillation

Large language models (LLMs) are advanced AI models trained on vast text datasets to understand and generate human-like natural language. They excel at tasks like translation, summarization, and creative writing. Their context-aware language comprehension allows them to recognize patterns and nuances within text. LLMs are valuable tools for various applications, such as customer service and content creation. However, they can be computationally expensive and lack determinism in outputs. Task-specific LLMs, distilled from larger models, can address these issues and provide specialized functionality for specific tasks.