The guide covers three stages, including tone checks like avoiding AI-like or salesy outputs, helping teams refine prompts ...

Python has become one of the most popular programming languages out there, particularly for beginners and those new to the ...

This repository contains source code for the classical docking setup, input data processing, result generation, and evaluation on PLINDER and PoseBusters protein-ligand docking benchmarks. conda ...

Elon Musk's frontier generative AI startup xAI formally opened developer access to its Grok 4.1 Fast models last night and ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation In forecasting economic time series, statistical models often need to be complemented with a process to impose various ...

Large language models (LLMs) have been extensively researched for programming-related tasks, including program summarisation, over recent years. However, the task of abstracting formal specifications ...

Introduction: The quality of traditional Chinese medicine (TCM) guarantees clinical efficacy. At present, although chemical quality evaluation methods can reflect the quality of TCMs to a certain ...

Abstract: This study evaluates leading generative AI models for Python code generation. Evaluation criteria include syntax accuracy, response time, completeness, reliability, and cost. The models ...

This repo contains the evaluation code for the paper "BlenderGym: Benchmarking Foundational Model Systems for 3D Graphics". This section introduces how to run your VLM on BlenderGym data to generate ...

In this tutorial, we demonstrate how to evaluate the quality of LLM-generated responses using Atla’s Python SDK, a powerful tool for automating evaluation workflows with natural language criteria.