Machine Learning archives
68 posts
LLMs explained: how to build your own private ChatGPT
By Andreea Munteanu, 30 August 2023
Large language models (LLMs) are the topic of the year. They are as complex as they are exciting, and everyone can agree they put artificial intelligence in...
Ubuntu AI podcast
By Andreea Munteanu, 27 July 2023
A podcast on open source, machine learning and levelling the playing field for data-driven innovation. In a world where generative AI and large language...
What does the future of AI hold in store?
By Andreea Munteanu, 16 July 2023
Eight trends to keep an eye on this Artificial Intelligence Appreciation Day On 16 July the world celebrates International Artificial Appreciation Day. In the...
Large language models (LLMs): what, why, how?
By Andreea Munteanu, 12 July 2023
Large language models (LLMs) are machine-learning models specialised in understanding natural language. They became famous once ChatGPT was widely adopted...
ML Observability: what, why, how
By Andreea Munteanu, 6 July 2023
Note: This post is co-authored by Simon Aronsson, Senior Engineering Manager for Canonical Observability Stack. AI/ML is moving beyond the experimentation...
Charmed MLFlow Beta is here. Try it out now!
By Andreea Munteanu, 7 June 2023
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...
Business benefits of artificial intelligence in retail
By Andreea Munteanu, 1 June 2023
The retail industry is going through a period of major upheaval. AI is transforming the landscape at a rapid pace. Grand View Research evaluated the market...
How to secure your MLOps tooling?
By Andreea Munteanu, 26 May 2023
Timely patching with Ubuntu Pro for fully secured MLOps Generative AI projects like ChatGPT have motivated enterprises to rethink their AI strategy and make...
AI in the public sector: practical applications and use cases
By Andreea Munteanu, 18 May 2023
The public sector is investing heavily on artificial intelligence and machine learning initiatives. Deloitte AI Institute reported that 60% of government AI...
Open source MLOps at Kubecon with Canonical
By Andreea Munteanu, 10 April 2023
Date: 17-21 April 2023 Location: Amsterdam Booth: P15 In just a few weeks, Kubecon will be held at RAI Convention Center, in Amsterdam, the Netherlands....
Four Challenges for ML data pipeline
By Hugo Huang, 9 April 2023
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...
Charmed Kubeflow 1.7 is now available
By Canonical, 29 March 2023
Run serverless ML workloads. Optimise models for deep learning. Expand your data science tooling. Canonical, the publisher of Ubuntu, announced today the...