Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for ...
I was curious if Block's Goose agent, paired with Ollama and the Qwen3-coder model, could really replace Claude Code. Here's how I got started.
Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...
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.
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Abstract: Arabic Sign Language (ArSL) detection represents an important area of research in assistive communication technology for sign language users. This study investigates a machine learning (ML) ...
DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...
Abstract: The conventional line of machine translation (MT) has been revolutionized by the advent of large language models (LLMs) that have dramatically increased translation performance on multi ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results