Flipboard

APRIL 23, 2025

Rather than maintaining constantly running endpoints, the system creates them on demand when document processing begins and automatically stops them upon completion. This endpoint based architecture provides decoupling between the other processing, allowing independent scaling, versioning, and maintenance of each component.

AWS 110

AWS ML ML AI 110

O'Reilly Media

NOVEMBER 19, 2024

The “distance” between each pair of neighbors can be interpreted as a probability.When a question prompt arrives, run graph algorithms to traverse this probabilistic graph, then feed a ranked index of the collected chunks to LLM. One way to build a graph to use is to connect each text chunk in the vector store with its neighbors.

Database 127

Database AI AI Natural Language Processing 127

AWS Machine Learning Blog

MAY 23, 2023

With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. However, implementing ML into production comes with various considerations, notably being able to navigate the world of AI safely, strategically, and responsibly.

Machine Learning 101

Machine Learning Machine Learning AWS ML 101

AWS Machine Learning Blog

NOVEMBER 17, 2023

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. This process involves the utilization of both ML and non-ML algorithms. For more detailed information, refer to the GitHub repo.

AWS 115

AWS ML ML Algorithm 115

Towards AI

MARCH 1, 2023

The technology behind GitHub’s new code search This post provides a high-level explanation of the inner workings of GitHub’s new code search and offers a glimpse into the system architecture and technical underpinnings of the product.

AI 98

AI AI Machine Learning Machine Learning 98

Google Research AI blog

FEBRUARY 14, 2023

We’re also progressing towards making our learning algorithms more data efficient so that we’re not relying only on scaling data collection. Further improvements are gained by utilizing a novel structured dynamical systems architecture and combining RL with trajectory optimization , supported by novel solvers.

Algorithm 139

Algorithm System Architecture Deep Learning Deep Learning 139

Heartbeat

JANUARY 9, 2024

This is brought on by various developments, such as the availability of data, the creation of more potent computer resources, and the development of machine learning algorithms. Deployment : The adapted LLM is integrated into this stage's planned application or system architecture.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 52