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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
Setup - Input Data Format - Downloading Data - Usage - Results - Issues - Citation
Setup - Downloading Data and Checkpoints - Training - Pre-trained Checkpoints - Issues - Citation
Code for paper "Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent"
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 π¦) that enables pretrained language models to generate entire datasets from scratch.
The main features of timoschick/dino are: Information Retrieval and Ranking.
Open-source alternatives to timoschick/dino include: maiot-io/zenml β ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of dataβ¦ devsinghsachan/unsupervised-passage-reranking β Setup - Input Data Format - Downloading Data - Usage - Results - Issues - Citation. devsinghsachan/art β Setup - Downloading Data and Checkpoints - Training - Pre-trained Checkpoints - Issues - Citation. sunnweiwei/rankgpt β Code for paper "Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent". zetaalphavector/inpars β Inquisitive Parrots for Search A toolkit for end-to-end synthetic data generation using LLMs for IR. zhiyuanpeng/sptar β SPTAR represents Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models which consists of sixβ¦