Sampling is a statistical technique used in research to select a subset of individuals or data points from a larger population. This subset, known as a sample, is chosen to represent the ...

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Differing from previous policies that utilized random sampling to train batches, this systematic selection method enhances ... and lower computational overhead makes this adaptive learning process a ...

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常见的策略包括贪心解码（greedy decoding）, 束搜索（beam search）, top-k 采样 和 nucleus sampling（top-p sampling ... 高性能计算：如果要从头搭建自己的LLM（硬件、分布式工作负载等），那么关于HPC的知识还是很重要的。 三、llm算法工程师做什么的 ‌LLM算法工程师的 ...

2. 解码与采样策略（Decoding and Sampling Strategy） 解码策略（Decoding Strategy）可在推理（Inference）阶段控制 LLM 的输出方式，影响文本的随机性和多样性。常见的解码策略包括： （1）贪心搜索（Greedy Search） 直接选择概率最高的 token作为下一个输出。 优点：计算速度 ...

TTS can be categorized into Internal TTS, which encourages step-by-step reasoning through extended Chain-of-Thought (CoT) processes, and External TTS, which enhances performance using sampling or ...

By combining continuous audio representation like the spectrogram and discrete acoustic tokens, we retain the best of both worlds: Have all the information needed from the audio at a specific time ...

大模型应用程序中的提示词重复率高达70%。前缀缓存机制能够将推理成本降低达90%，显著优化性能并节约资金。 是不是总感觉 ...

Enter "Bring your own LLM" (BYO-LLM) - an evolving consensus on how businesses approach AI integration. And the timing is perfect: the LLM landscape has exploded, with upstarts like DeepSeek and ...