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This application showcases a straightforward LLM chat application developed with LlmCpp-Java and Spring Boot. This application uses Java 17+ and Spring Boot 3.

I am an experienced AI developer and AI models expert with a passion for creating innovative solutions that drive efficiency and growth. My expertise includes developing custom AI models, chatbots, ...

A: Unlike traditional rule-based chatbots, our LLM-powered chatbots use advanced AI to understand context and generate human-like responses. They can handle complex queries, learn from conversations, ...

Research showed that the ReDrafter technique could accelerate LLM inference by up to 3.5x tokens per generation step for open-source models. Apple’s technology involves combining beam search ...

LLM就是神经网络，它相当于受到大脑启发的机器学习模型。网络由人工神经元组成（或者叫计算单元），它们排列成层，有着可调节的参数（代表神经元的连接强度）。 在训练时，研究人员用到一种名叫NTP(Next Token Prediction) 的方法，模型被反复输入文本 ...

ReDrafter的核心构成是循环神经网络（RNN）草稿模型，旨在通过分析LLM的隐藏状态来预测即将生成的tokens序列。与传统方法每次生成一个token不同，ReDrafter允许在每个解码步骤生成多个候选tokens，这大幅降低了对LLM的调用次数，进而显著提升了整体推理速度。