O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” Training models and developing complex applications on top of those models is becoming easier. We’ll say more about this later.)

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide.

Performance 124

Performance Hardware Tuning Storage 124

O'Reilly

JANUARY 17, 2023

You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production. Or that, just maybe, your training data is no good for the challenge at hand. It’s convenient.

Tuning 130

Tuning Open Source AWS Software 130

Percona

MAY 15, 2023

version or Percona Server for MongoDB one, your database will no longer receive bug fixes, patches, or minor releases. in April has reached its End of Life (EOL), and more versions are soon going to be decommissioned as well. What does that mean for me? If you are a user of MongoDB 4.2, whether the MongoDB Inc.

Servers 108

Servers Open Source Tuning Software 108

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. Similarly, ML model training workflows usually consist of tens of thousands of training jobs within a single workflow. We use Netflix open source project Conductor as a library to manage the workflow state machine in Maestro.

Java 202

Java Scalability Traffic Architecture 202

All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. Machine learning models are usually trained tens or hundreds of times. In machine learning, more is usually more.

Scalability 159

Scalability Hardware AWS Tuning 159

O'Reilly

JULY 25, 2023

I guessed that maybe ChatGPT only knew about v2 since it was trained on open-source code from before September 2021 (its knowledge cutoff date) and v2 was the dominant format before that date. To my surprise, it knew about v3 from its training data and generated a v3 manifest file for me in response.

Programming 98

Programming Code Design Benchmarking 98