[HTML][HTML] Large Language Models Meet Next-Generation Networking Technologies: A Review
CN Hang, PD Yu, R Morabito, CW Tan - Future Internet, 2024 - mdpi.com
The evolution of network technologies has significantly transformed global communication,
information sharing, and connectivity. Traditional networks, relying on static configurations …
information sharing, and connectivity. Traditional networks, relying on static configurations …
[PDF][PDF] Empowering practical root cause analysis by large language models for cloud incidents
Ensuring the reliability and availability of cloud services necessitates efficient root cause
analysis (RCA) for cloud incidents. Traditional RCA methods, which rely on manual …
analysis (RCA) for cloud incidents. Traditional RCA methods, which rely on manual …
Automatic root cause analysis via large language models for cloud incidents
Ensuring the reliability and availability of cloud services necessitates efficient root cause
analysis (RCA) for cloud incidents. Traditional RCA methods, which rely on manual …
analysis (RCA) for cloud incidents. Traditional RCA methods, which rely on manual …
An intent-based networks framework based on large language models
Motivated by the increasing complexity of today's communication networks, autonomous
networks (AN) have recently attracted much attention from industry and academia …
networks (AN) have recently attracted much attention from industry and academia …
LLM-Based Misconfiguration Detection for AWS Serverless Computing
Serverless computing is an emerging cloud computing paradigm that enables developers to
build applications at the function level, known as serverless applications. Amazon Web …
build applications at the function level, known as serverless applications. Amazon Web …
A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation
Retrieval-augmented generation (RAG) is an umbrella of different components, design
decisions, and domain-specific adaptations to enhance the capabilities of large language …
decisions, and domain-specific adaptations to enhance the capabilities of large language …
CAIP: Detecting Router Misconfigurations with Context-Aware Iterative Prompting of LLMs
Model checkers and consistency checkers detect critical errors in router configurations, but
these tools require significant manual effort to develop and maintain. LLM-based Q&A …
these tools require significant manual effort to develop and maintain. LLM-based Q&A …
GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation
A key challenge associated with Kubernetes configuration files (KCFs) is that they are often
highly complex and error-prone, leading to security vulnerabilities and operational setbacks …
highly complex and error-prone, leading to security vulnerabilities and operational setbacks …
Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
Configuration settings are essential for tailoring software behavior to meet specific
performance requirements. However, incorrect configurations are widespread, and …
performance requirements. However, incorrect configurations are widespread, and …
Rephrase and Contrast: Fine-Tuning Language Models for Enhanced Understanding of Communication and Computer Networks
Large language models (LLMs) are being widely researched across various disciplines, with
significant recent efforts focusing on adapting LLMs for understanding of how …
significant recent efforts focusing on adapting LLMs for understanding of how …