Blog posts written by Andreea Munteanu

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
6 July 2023

ML Observability: what, why, how

AI Article

Note: This post is co-authored by Simon Aronsson, Senior Engineering Manager for Canonical Observability Stack. AI/ML is moving beyond the experimentation phase. This involves a shift in the way of operating because productising AI involves many sophisticated processes. Machine learning operations (MLOps) is a new practice that ensures ML ...

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 ...

Andreea Munteanu
1 June 2023

Business benefits of artificial intelligence in retail

AI Article

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 value at USD 5.79 billion in 2021 and this is expected to grow at a 23.9% compound annual growth rate (CAGR) from 2022 to 2030. For retailers, this translates ...

Andreea Munteanu
26 May 2023

How to secure your MLOps tooling?

AI Article

Timely patching with Ubuntu Pro for fully secured MLOps Generative AI projects like ChatGPT have motivated enterprises to rethink their AI strategy and make it a priority. In a report published by PwC, 72% of respondents said they were confident in the ROI of artificial intelligence. More than half of respondents also state that their ...

Andreea Munteanu
18 May 2023

AI in the public sector: practical applications and use cases

AI Article

The public sector is investing heavily on artificial intelligence and machine learning initiatives. Deloitte AI Institute reported that 60% of government AI and data analytics investments aim to directly impact real-time operational decisions and outcomes by 2024. From automating redundant tasks to increasing the quality of services offer ...

Andreea Munteanu
10 April 2023

Open source MLOps at Kubecon with Canonical

AI Article

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. After a bunch of news from the industry around AI projects, such as GPT4 or MidJourney4, Canonical is also ready to bring open source into the landscape. Among the attendees, ...

Andreea Munteanu
8 March 2023

Charmed Kubeflow 1.7 Beta is here. Try it now!

AI Article

Canonical is happy to announce that Charmed Kubeflow 1.7 is now available in Beta. Kubeflow is a foundational part of the MLOps ecosystem that has been evolving over the years. With Charmed Kubeflow 1.7, users benefit from the ability to run serverless workloads and perform model inference regardless of the machine learning framework they ...

Andreea Munteanu
3 March 2023

Top 5 MLOps challenges

AI Article

After ChatGPT took off, the AI/ML market suddenly became attractive to everyone. But is it that easy to kickstart a project? More importantly, what do you need to scale an AI initiative? MLOps or machine learning operations is the answer when it comes to automating machine learning workflows. Adopting MLOps is like adopting DevOps, you ...

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
23 January 2023

What is MLOps going to look like in 2023?

Ubuntu Article

While AI seems to be the topic of the moment, especially in the tech industry, the need to make it happen in a reliable way is becoming more obvious. MLOps, as a practice, finds itself in a place where it needs to keep growing and remain relevant in view of the latest trends. Solutions like ...