This hands-on PoC shows how I got an open-source model running locally in Visual Studio Code, where the setup worked, where it broke down, and what to watch out for if you want to apply a local model ...
Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...
Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...
This repo contains the code and documentation to the article Fact or Fiction? Exploring Diverse Approaches to Fact Verification with Language Models. The paper assesses the performance of various ...
Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...
This codebase contains the code for the paper Instruction Following without Instruction Tuning, by John Hewitt, Nelson F. Liu, Christopher D. Manning, and Percy Liang. This codebase is a fork of the ...
Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...
Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...
Self-hosted agent runtimes like OpenClaw are showing up fast in enterprise pilots, and they introduce a blunt reality: OpenClaw includes limited built-in security controls. The runtime can ingest ...