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Blog posts tagged
"machine learning"

victoriaantipova
14 March 2024

Join the Canonical Data and AI team at Data Innovation Summit 2024

AI Data Platform

Join Canonical Data and AI team at Data Innovation Summit 2024 ...

Canonical
26 September 2023

Canonical releases Charmed MLFlow

AI Article

Canonical announced today that Charmed MLFlow, Canonical’s distribution of the popular machine learning platform, is now generally available. Charmed MLFlow is part of Canonical’s growing MLOps portfolio. ...

Andreea Munteanu
12 July 2023

Large language models (LLMs): what, why, how?

AI Article

Large language models (LLMs) are machine-learning models specialised in understanding natural language. They became famous once ChatGPT was widely adopted around the world, but they have applications beyond chatbots. LLMs are suitable to generate translations or content summaries. This blog will explain large language models (LLMs), inclu ...

Andreea Munteanu
23 June 2023

Kubeflow vs MLFlow: which one to choose?

AI Article

Data scientists and machine learning engineers are often looking for tools that could ease their work. Kubeflow and MLFlow are two of the most popular open-source tools in the machine learning operations (MLOps) space. They are often considered when kickstarting a new AI/ML initiative, so comparisons between them are not surprising.  This ...

Andreea Munteanu
7 June 2023

Charmed MLFlow Beta is here. Try it out now!

AI Article

Canonical’s MLOps portfolio is growing with a new machine learning tool. Charmed MLFlow 2.1 is now available in Beta. MLFlow is a crucial component of the open-source MLOps ecosystem. The project announced it had passed 10 million monthly downloads at the end of 2022. With Charmed MLFlow users benefit from a platform where they can ...

Hugo Huang
9 April 2023

Four Challenges for ML data pipeline

AI Article

Data pipelines are the backbone of Machine Learning projects. They are responsible for collecting, storing, and processing the data that is used to train and deploy machine learning models. Without a data pipeline, it would be very difficult to manage the large amounts of data that are required for machine learning projects. For this long ...

Andreea Munteanu
2 February 2023

From model-centric to data-centric MLOps

AI Article

MLOps (short for machine learning operations) is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from data gathering to governance and monitoring. It will become a standard as artificial intelligence is moving towards becoming part of everyday business, rather than an innovative act ...

Andreea Munteanu
14 December 2022

What is MLOps?

AI Article

MLOps is the short term for machine learning operations and it represents a set of practices that aim to simplify workflow processes and automate machine learning and deep learning deployments. It accomplishes the deployment and maintenance of models reliably and efficiently for production, at a large scale. MLOps is slowly evolving into ...

Andreea Munteanu
24 November 2022

AI/ML in retail: how the shopping experience has changed

AI Article

From brick-and-mortar stores to online marketplaces, retail companies are all increasing their investments in artificial intelligence, in order to gain a competitive advantage! ...

Andreea Munteanu
26 October 2022

Kubeflow just applied to join CNCF – what does it mean for you?

AI Article

Google just announced that they have submitted an application for Kubeflow to become an incubating project in the Cloud Native Computing Foundation (CNCF). It is an initiative supported by the Kubeflow Project Steering group. The request is visible to everyone and it represents a game changer for the rhythm which Kubeflow will develop. It ...

Andreea Munteanu
14 October 2022

Hyperparameter tuning for ML models

AI Article

To create a machine learning model, you need to design and optimise the model’s architecture. This involves performing hyperparameter tuning, to enable developers to maximise the performance of their work. How do hyperparameters differ from model parameters? Michal Hucko, Kubeflow engineer, and Andreea Munteanu, Product Manager will host ...

Andreea Munteanu
17 August 2022

Charmed Kubeflow 1.6 Beta is out: try it today!

AI Article

We are happy to announce that Charmed Kubeflow 1.6 is now available in Beta. Kubeflow has evolved into an end-to-end MLOps platform for optimised complex model training. We’re looking for data scientists, ML engineers and developers to take the Beta release for a drive and share their feedback! Read on to learn more. Read more ...

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