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Blog posts tagged
"AI/ML"

Andreea Munteanu
30 August 2023

LLMs explained: how to build your own private ChatGPT

AI Article

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 the spotlight. Once LLms were released to the public, the hype around them grew and so did their potential use cases – LLM-based chatbots being one of them. ...

Andreea Munteanu
27 July 2023

Ubuntu AI podcast

AI Article

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 models (LLMs) are the new hot topics, having conversations about machine learning, MLOps or open source is a real need. This is what we had in mind when we first thought ...

Andreea Munteanu
16 July 2023

What does the future of AI hold in store?

AI Article

Eight trends to keep an eye on this Artificial Intelligence Appreciation Day On 16 July the world celebrates International Artificial Appreciation Day. In the previous century, science fiction often covered topics and inventions that are now closer to science fact, such as humanoid robots. In the 50s, artificial intelligence met both grea ...

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 ...

Marina Khachatryan
22 May 2023

Canonical at AWS Summit Washington, DC 2023

Cloud and server Article

We will discuss the most cutting-edge cloud solutions for the Public Sector, such as security and compliance, AI/ML solutions and improved functionality. ...

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 ...

Tytus Kurek
10 May 2023

OpenInfra Summit Vancouver 2023 is coming

Cloud and server Article

Heads up! The OpenInfra Summit Vancouver 2023 is coming!!! After the successful resurrection of the event in Berlin last year, the OpenInfra Summit is back as an in-person event again. The conference will take place in Vancouver, Canada, on June 13-15. As usual, Canonical will be there to share the latest news about OpenStack and ...

Canonical
9 May 2023

5가지 주요 MLOps 과제

AI Machine Learning

ChatGPT가 출시된 후, AI/ML 시장은 갑자기 모든 사람에게 매력적으로 다가왔습니다. 하지만 프로젝트를 시작하기가 그렇게 쉬울까요? 더 중요한 것은, AI 이니셔티브를 확장하기 위해 무엇이 필요할까요? 머신러닝 워크플로우 자동화에 대한 해답은 MLOps 또는 머신러닝 운영입니다. MLOps 도입은 DevOps를 도입하는 것과 비슷합니다, 다른 사고방식과 작업 방식을 수용해야 합니다. 하지만 이런 종류의 이니셔티브가 창출하는 투자 수익은 그만큼 노력할 가치가 ...

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