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Abstract: Python is a widely used language in scientific computing. When the goal is high performance, however, Python lags far behind low-level languages such as C and Fortran. To support ...

You don't need fancy hardware to get started on your coding journey. A low-spec computer will likely be more than you need to ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...

You might be staring at your budget, wondering how you’re supposed to cover rent, debt, and everything else on $20–$25 an ...

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...

在代码大模型（Code LLMs）的预训练中，行业内长期存在一种惯性思维，即把所有编程语言的代码都视为同质化的文本数据，主要关注数据总量的堆叠。然而，现代软件开发本质上是多语言混合的，不同语言的语法特性、语料规模和应用场景差异巨大。如果忽略这些差异，笼统地应用通用的 Scaling Laws，往往会导致性能预测偏差和算力浪费。

The World Resources Institute (USA) Beijing Representative Office is looking for one highly self-motivated student to be an intern at the Research, Data & Impact (RDI) team.

Under the mentorship of Ph.D. student Venkatesh Sivaraman, Ziyong Ma spent the summer developing a tool designed to help clinicians query medical databases without needing programming expertise.

The Multi-Feature Tagger of English (MFTE) was originally based on the MFTE Perl (Le Foll 2021). The present, substantially improved Python version considerably expands the number of tagged features.

Candidates pursuing a Bachelor's, Master's, or PhD degree are eligible to apply through the Google Careers website.

The updated version of this lesson (June 2024) was developed with the assistance of David Palmquist and Scott Peterson.