Decoder Only Language Model

Decoder-only language models are a class of artificial intelligence models designed for efficient text generation and processing, focusing on tasks like translation, summarization, and question answering. Current research emphasizes optimizing these models for various applications, including biomedical text processing, speech recognition, and code generation, often through techniques like multi-task learning and efficient training algorithms. This focus on efficiency and adaptability makes decoder-only models increasingly important for resource-constrained environments and applications requiring real-time performance, impacting fields ranging from healthcare to cybersecurity.