Implementation and reproducible experiments behind the research paper "Improving Sequential Recommendation with LLMs", which substantially extends our RecSys paper. The paper is uploaded to Arxiv.
This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.
In this repo, we present R-4B, a multimodal large language model designed for general-purpose auto-thinking, autonomously switching between step-by-step thinking and direct response generation based ...
Vibe coding allows manufacturing personnel to create software using everyday speech instead of traditional programming, enabling production managers to simply say "build a monitoring dashboard for ...
Abstract: Ever since the emergence of large language models (LLMs) and related applications, such as ChatGPT, its performance and error analysis for programming tasks ...
Abstract: Tools based on the use of Large Language Models (LLMs) have improved the computer programming teaching process, automated feedback processes, facilitated program repair, and enabled ...
Quantitative Polymerase Chain Reaction (qPCR) is a highly adaptable experimental technique used across biology and medicine to measure the amounts of nucleic acids (DNA or RNA). tidyqpcr is a software ...
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