Precisely

JULY 18, 2024

Significantly improves data governance and security through a unified framework for managing data policies, compliance, and quality across all data points. Establish robust data governance policies and practices to ensure data quality, security, and compliance.

Data Lakes 52

Data Lakes Data Warehouse Data Governance Machine Learning 52

Snorkel AI

NOVEMBER 9, 2023

As data science teams reorient around the enduring value of small, deployable models, they’re also learning how LLMs can accelerate data labeling. According to our poll participants, data preparation still occupies more data scientists’ hours than anything else. or request a demo to get started or to learn more.

Data Science 52

Data Science Data Scientist Data Preparation AI 52

Snorkel AI

JANUARY 26, 2024

Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way. Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks. Book a demo today.

Data Science 64

Data Science AI AI Machine Learning 64

Snorkel AI

JANUARY 26, 2024

Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way. Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks. Book a demo today.

Data Science 52

Data Science Data Scientist AI AI 52

Iguazio

FEBRUARY 8, 2024

With these set up, you can move to the key LLMOps activities: Data Handling and Management - The organization, storage and pre-processing of the vast data needed for training language models. This includes versioning, ingestion and ensuring data quality. What’s in store for LLMOps and how can data professionals prepare?

ML 52

ML ML Data Scientist AI 52

DagsHub

MAY 27, 2024

It offers a user-friendly interface and support for annotating various data types including images, text, and videos. Additionally, you can experience a demo of Labelbox to understand its functionality better. Source: Author SuperAnnotate helps annotate data with a wide range of tools like bounding boxes, polygons, and speech tagging.

Machine Learning 59

Machine Learning Machine Learning Natural Language Processing AWS 59

The MLOps Blog

MAY 9, 2023

The components comprise implementations of the manual workflow process you engage in for automatable steps, including: Data ingestion (extraction and versioning). Data validation (writing tests to check for data quality). Data preprocessing. This demo uses Arrikto MiniKF v20210428.0.1 Kale v0.7.0.

ML 98

ML ML Machine Learning Machine Learning 98

AWS Machine Learning Blog

NOVEMBER 13, 2024

It helps organizations comply with regulations, manage risks, and maintain operational efficiency through robust model lifecycles and data quality management. Prepare the data to build your model training pipeline. intended_uses="Not used except this test.", factors_affecting_model_efficiency="No.",

ML 112

ML ML AWS Data Preparation 112

AWS Machine Learning Blog

FEBRUARY 18, 2025

The following sections further explain the main components of the solution: ETL pipelines to transform the log data, agentic RAG implementation, and the chat application. Creating ETL pipelines to transform log data Preparing your data to provide quality results is the first step in an AI project.

AWS 74

AWS Database ETL AI 74