
SGLang paper review
Philosophy of SGLang Since the introduction of LLMs, they have been used to solve complex tasks in various fields—including problem-solving, code writing, and answering questions. Today, they are expanding their ability to be agentic, completing tasks users request without human interference. This requires a wide range of prompting techniques, such as skeleton of thought or tree of thought. In other words, we structure LLMs to follow certain patterns to fit our needs, and we require programmability to control and guide them to meet our requirements. ...
