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 ...

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 ...

The article details how Nextdoor approached this ML implementation. For the full technical details, refer to the original source.

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 ...

Silicon Motion Technology Corporation (NasdaqGS: SIMO) ("Silicon Motion"), a global leader in designing and marketing NAND ...

Previous approaches to improving LLM efficiency have relied on instruction fine-tuning, reinforcement learning, and model distillation. Instruction fine-tuning enables models to understand better and ...

The rapid growth of web content presents a challenge for efficiently extracting and summarizing relevant information. In this tutorial, we demonstrate how to leverage Firecrawl for web scraping and ...

Q4 2024 Earnings Conference Call March 12, 2025 8:00 AM ETCompany ParticipantsTracy Li - Investor RelationsShen Peng - ...

今天本想写篇关于 OpenAI Responses API 的文章，但近期 AI 热门话题挺多，感觉有必要简单聊聊。Agent、MCP 近期频繁出现在大众视野，近日，OpenAI 又宣布推出 Responses API 助力开发者。术语名词越来越多，脑子明显感觉不够用了...AI Agent ...

Google's researchers tested for information leakage by sampling training data and seeing how much could be directly extracted from Gemma 3 versus its other models. "We find that Gemma 3 models ...