InfoQ

MAY 8, 2024

Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized? By Jules Damji

Tuning 89

Tuning Infrastructure Artificial Intelligence Data Engineering 89

Dynatrace

JULY 6, 2022

Automating IT practices without integrated AIOps presents several challenges. While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues. The challenges of automating IT and how to combat them. Developing automation takes time.

Artificial Intelligence 198

Artificial Intelligence Tuning Strategy Big Data 198

InfoQ

APRIL 15, 2024

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning. By Rafal Gancarz

Artificial Intelligence 106

Artificial Intelligence Big Data Data Engineering Latency 106

O'Reilly

MARCH 2, 2020

The most important is discovering how to work with data science and artificial intelligence projects. Large teams present their own problems, but it’s ironic to see writers scorning the “two pizza group” concept because it can’t possibly work for large organizations. Can Agile work for large teams?

Artificial Intelligence 20

Artificial Intelligence Software Architecture Programming Infrastructure 20