Large Language Model

Large language models (LLMs) are crucial to processing extensive data quickly and accurately. Instruction tuning plays a vital role in enhancing their reasoning abilities and preparing them to solve new, unseen problems. However, the acquisition of high-quality instruction data on a large scale presents a significant challenge. Traditional methods that rely heavily on human input…

Large language models (LLMs) play a fundamental role in processing substantial amounts of data quickly and accurately, and depend critically on instruction tuning to enhance their reasoning capabilities. Instruction tuning is crucial as it equips LLMs to efficiently solve unfamiliar problems by applying learned knowledge in structured scenarios. However, obtaining high-quality, scalable instruction data continues…

Text embedding models, an essential aspect of natural language processing, enable machines to interact and interpret human language by converting textual information into a numerical format. These models are vital for numerous applications, from search engines to chatbots, enhancing overall efficiency. However, the challenge in this field lies in enhancing the retrieval accuracy without excessively…