Explaining Large Language Models

SGLang: Efficient Execution of Structured Language Model Programs

Large language models (LLMs) are increasingly utilized for complex tasks requiring multiple generation calls, advanced prompting techniques, control flow, and structured inputs/outputs. Nevertheless, efficient systems for programming and executing these applications are lacking. SGLang,...

From Prompt Engineering to Few-Shot Learning: Enhancing AI Model Responses

Artificial Intelligence (AI) has witnessed rapid advancements over the past few years, particularly in Natural Language Processing (NLP). From chatbots that simulate human conversation to classy models that may draft essays and compose poetry,...

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