Abstract: This survey reviews how large language models (LLMs) are transforming synthetic training data generation in both natural language and code domains. By producing artificial but task-relevant ...
Oracle’s Java team sat down with me last week for a fast-moving briefing on Java 25 and the broader direction of the platform. The headline: JDK 25 is an LTS release, the second on Oracle’s new ...
Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
Linda Rosencrance is a freelance writer/editor/author in the Boston area. Rosencrance has over 30 years experience as an investigative reporter, writing for many newspapers in… Artificial intelligence ...
This project is a fork of psycopg, originally developed by the Psycopg Team. Original work: Copyright © 2020 The Psycopg Team License: GNU Lesser General Public ...
Objective: We evaluated the performance of a 3-layer screening method using GPT-3.5 and GPT-4 to streamline the title and abstract-screening process for systematic reviews. Our goal is to develop a ...
import "std/log.xi" interface Greeter { mapper greet(name: String) -> String } class Friendly implements Greeter { deps {} mapper greet(name: String) -> String ...
Abstract: Large language models (LLMs) have emerged as a promising tool for detecting code vulnerabilities, potentially offering advantages over traditional rule-based methods. This paper proposes an ...
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