GitHub

A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.

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.
IEEE

Flexible and Secure Code Deployment in Federated Learning using Large Language Models: Prompt Engineering to Enhance Malicious Code Detection

Abstract: Federated Learning is a machine learning methodology that emphasizes data privacy, involving minimal interaction with each other’s systems, primarily exchanging model parameters. However, ...
IEEE

Instructive Code Retriever: Learn from Large Language Model’s Feedback for Code Intelligence Tasks

Abstract: Recent studies proposed to leverage large language models (LLMs) with In-Context Learning (ICL) to handle code intelligence tasks without fine-tuning. ICL employs task instructions and a set ...
GitHub

hifaz1012/AIStudio-LLM-Evaluation-Samples

Azure AI Studio offers 3 types of Large Language Model (LLM) Evaluations. Manual Evaluation: Manual review of LLM Responses by human reviewers and domain experts ...