Remove Algorithm Remove Linked Data Remove Metadata
article thumbnail

Building cars in a changing world: Audi’s Integrated Approach with IBM Planning Analytics

IBM Journey to AI blog

It was equally important that this infrastructure contained consistent metadata and data structures across all entities, preventing data redundancy and streamlining processes. The primary goal in adopting a planning and analytics solution was to link data and processes across departments.

Metadata 242
article thumbnail

Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning Blog

Although AWS offers a number of options for model training—from AWS Marketplace models and SageMaker built-in algorithms—there are a number of techniques to deploy open-source ML models. JumpStart provides access to hundreds of built-in algorithms with pre-trained models that can be seamlessly deployed to SageMaker endpoints.

BERT 93
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Present and future of data cubes: an European EO perspective

Mlearning.ai

Video Presentation of the B3 Project’s Data Cube. Presenters and participants had the opportunity to hear about and evaluate the pros and cons of different back end technologies and data formats for different uses such as web-mapping, data visualization, and the sharing of meta-data. S3 and Zenodo.org).

article thumbnail

An introduction to preparing your own dataset for LLM training

AWS Machine Learning Blog

Common patterns for filtering data include: Filtering on metadata such as the document name or URL. Apply the MinHash algorithm as shown in the preceding example and calculate the similarity scores between paragraphs. Non-textual elements such as HTML tags and non-UTF-8 characters are typically removed or normalized.

LLM 90