DNLab2024/BGP_LLaMA
BGP-LLaMA: Fine-tuning Open-Source LLM on BGP Routing Knowledge and Analysis
This project helps network engineers and researchers analyze BGP routing data by providing a specialized AI. You input specific questions about BGP routing or requests for BGP data analysis, and it provides accurate answers and automates manual analysis tasks. Network operations engineers, internet researchers, and network architects who manage large-scale networks would find this useful.
No commits in the last 6 months.
Use this if you need an AI assistant to quickly answer complex BGP routing questions or to automate routine analysis of BGP routing data.
Not ideal if you are looking for a general-purpose AI that can handle a wide range of topics outside of BGP routing and network analysis.
Stars
7
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 01, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/DNLab2024/BGP_LLaMA"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
OptimalScale/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
adithya-s-k/AI-Engineering.academy
Mastering Applied AI, One Concept at a Time
jax-ml/jax-llm-examples
Minimal yet performant LLM examples in pure JAX
young-geng/scalax
A simple library for scaling up JAX programs
riyanshibohra/TuneKit
Upload your data → Get a fine-tuned SLM. Free.