IEEE

Code Vulnerability Repair with Large Language Model Using Context-Aware Prompt Tuning

Abstract: Large Language Models (LLMs) have shown significant challenges in detecting and repairing vulnerable code, particularly when dealing with vulnerabilities involving multiple aspects, such as ...
InfoWorld

I ran Qwen3.5 locally instead of Claude Code. Here’s what happened.

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.
GitHub

MianMiao MianMiao03

Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding" ...
How-To Geek on MSN

How I find and explore datasets from Kaggle using Python

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...
GitHub

Evo 2: Genome modeling and design across all domains of life

Evo 2 is a state of the art DNA language model for long context modeling and design. Evo 2 models DNA sequences at single-nucleotide resolution at up to 1 million base pair context length using the ...
XDA Developers on MSN

This self-hosted tool makes my local LLMs feel exactly like ChatGPT, but nothing leaves my network

It's perfect for privacy-conscious folks looking to break away from ChatGPT ...
IEEE

Model-Agnostic Empirical Evaluation of Test-Driven Prompt Engineering on Improving Accuracy and Efficiency in Large Language Models Python Code Generation

Abstract: Although Large Language Models (LLMs) are widely adopted for Python code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test ...