phData

JULY 17, 2023

Is the data available to train ML models ? Is the data of sufficient quality and volume? Is the data labeled for supervised learning ? Will third-party data be necessary? A reference architecture consists of multiple diagrams and documents that provide different views of your system.

ML 98

ML ML AI AI 98

Snorkel AI

MARCH 1, 2023

Table of contents What are foundation models? Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. The model continues this way until it generates a response that it predicts to be complete. What is self-supervised learning?

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

Pickl AI

NOVEMBER 28, 2024

These techniques span different types of learning and provide powerful tools to solve complex real-world problems. Supervised Learning Supervised learning is one of the most common types of Machine Learning, where the algorithm is trained using labelled data.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ODSC - Open Data Science

FEBRUARY 14, 2023

ChatGPT is a next-generation language model (referred to as GPT-3.5) The database would need to be highly available and resilient, with features like automatic failover and data replication to ensure that the system remains up and running even in the face of hardware or software failures.

Database 124

Database AI AI Natural Language Processing 124

ODSC - Open Data Science

OCTOBER 15, 2023

The platform is used by businesses of all sizes to build and deploy machine learning models to improve their operations. ArangoDB ArangoDB is a company that provides a database platform for graph and document data. ArangoDB is designed to be scalable, reliable, and easy to use.

Machine Learning 52

Machine Learning Machine Learning Data Pipeline AI 52

DagsHub

NOVEMBER 11, 2024

In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition. What is Unstructured Data? These AI models use multimedia data to understand and improve more complicated information.

AI 52

AI AI Data Lakes Database 52

AWS Machine Learning Blog

NOVEMBER 10, 2023

Although there are many possible use cases and a large variety of ML tasks out there, we suggest the following mental model for a stepwise approach: Understand your ML scenario at hand and select an algorithm based on the requirements. For example, you might want to solve an image recognition task using a supervised learning algorithm.

ML 124

ML ML Algorithm Python 124