14 open-source projects similar to salesforce/augtriever, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best AugTriever alternative.
Inquisitive Parrots for Search A toolkit for end-to-end synthetic data generation using LLMs for IR
Open Llama is an open source large language model and pre-trained transformer designed as a permissively licensed alternative to proprietary weights. It serves as a base model reproduction of the Llama architecture, providing a set of weights for a decoder-only transformer. The project provides a transparently trained model based on the RedPajama dataset, supporting unrestricted commercial and research use. It includes systems for serving pre-trained weights in various sizes. The project covers natural language processing research and performance benchmarking through text quality evaluation
labelImg is a computer vision labeling tool and image bounding box annotator used to create training datasets for machine learning models. It functions as a desktop utility for drawing rectangular labels on images and saving object coordinates and class names in common machine learning formats. The tool is specifically designed to generate and edit PascalVOC formatted XML files and create image labels in the text-based format required by YOLO object detection pipelines. The software covers object detection annotation and training data preparation, including the ability to manage label catego
ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself
This repository contains the code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”. Our implementation is built on the source code from dino. Thanks for their work.
This repository contains the code for our paper “SunGen: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning”.
Code for paper "Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent"
UltraChat is a collection of large-scale conversational datasets and instruction-tuning data designed for training and evaluating generative AI models. It provides structured JSON data consisting of complex, multi-round dialogue sequences intended to refine the performance of large language models in chat tasks. The project focuses on improving reasoning and response quality through a diverse set of interactions across multiple sectors. These datasets are used for supervised fine-tuning and instruction tuning workflows to improve how models follow complex directions and maintain context acros
This repository contains the code for Generating Datasets with Pretrained Language Models. The paper introduces a method called D atasets from In structi o ns (D INO 🦕) that enables pretrained language models to generate entire datasets from scratch.
High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.
SPTAR represents Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models which consists of six modules as shown in the following image:
Setup - Downloading Data and Checkpoints - Training - Pre-trained Checkpoints - Issues - Citation
Setup - Input Data Format - Downloading Data - Usage - Results - Issues - Citation
🎩 Models | 📚 Dataset | 🚀 Quick Start | 👀 Demo | 📝 Citation | 🙏 Acknowledgements