Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)

A list of awesome academic researches and industrial materials about Large Language Model (LLM) and Artificial Intelligence for IT Operations (AIOps).

s1: Simple test-time scaling

A powerful tool for creating fine-tuning datasets for LLM

LLM4AD: A Platform for Algorithm Design with Large Language Model

A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations

Microsoft's GraphRAG + AutoGen + Ollama + Chainlit = Fully Local & Free Multi-Agent RAG Superbot

Snapshot of the original BabyAGI repo as of September 2024

A lightweight library for building Multimodal Agents. Use it to give LLMs superpowers like memory, knowledge, tools and reasoning.

The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.

Learning to Use Medical Tools with Multi-modal Agent

Multi-Agent Framework that enhances document creation with three agents: Semantics Identification, Document Retrieval, and Content Generation, ensuring accuracy and user alignment.

A Dataset of Python Challenges for AI Research

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Terrify people

Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dime…

The official repo of Qwen-Audio (通义千问-Audio) chat & pretrained large audio language model proposed by Alibaba Cloud.

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

This repository contains the scripts and preprocessed data to recreate the figures and results presented in the paper: A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantifi…

Machine learning for transportation data imputation and prediction.

Remaining Useful Life (NASA CMAPS Dataset)

Code for paper "An end-to-end neural network framework for SOH estimation and RUL prediction of lithium battery"

Predict remaining useful life of a machine from it's historical data using CNN and LSTM