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Engineering @ Artefact

Upload files larger than 32MB to App Engine and Cloud Run with this Streamlit Component

Upload files larger than 32MB to App Engine and Cloud Run with this Streamlit Component

Cloud Run and App Engine are limited to 32MB uploads. Artefact developed a Streamlit component available as a pip package that simplifies it
Go to the profile of Meryam ASSERMOUH
Meryam ASSERMOUH
How Artefact managed to develop a fair yet simple career system for software engineers

How Artefact managed to develop a fair yet simple career system for software engineers

Artefact made a robust, simple and fair career ladder for software engineers, rewarding versatility and specialization.
Go to the profile of Benoît Goujon
Benoît Goujon
Why you need LLMOps

Why you need LLMOps

LLMOps merges DevOps and MLOps to solve operational challenges of LLMs, ensuring adaptability, evaluation, and monitoring for organizations
Go to the profile of Meryam ASSERMOUH
Meryam ASSERMOUH
How we handled profile ID reconciliation using Treasure Data Unification and SQL

How we handled profile ID reconciliation using Treasure Data Unification and SQL

Go to the profile of Nurbakyt Kulbatshayeva
Nurbakyt Kulbatshayeva
Snowflake’s Snowday ’23: Snowballing into Data Science Success

Snowflake’s Snowday ’23: Snowballing into Data Science Success

As we reflect on the insights shared during the ‘Snowday’ event on November 1st and 2nd, a cascade of exciting revelations about the future…
Go to the profile of Charbel Naba
Charbel Naba
LLMs Deployment: a practical Cost analysis

LLMs Deployment: a practical Cost analysis

A dive into the several ways of deploying an LLM focused on their associated costs.
Go to the profile of Hugo Debes
Hugo Debes
How we interview and hire software engineers at Artefact

How we interview and hire software engineers at Artefact

Interviewing at companies for a tech job is really something else. Each company has a different process. You never know precisely what to…
Go to the profile of Benoît Goujon
Benoît Goujon
How we deployed a simple wildlife monitoring system on Google Cloud

How we deployed a simple wildlife monitoring system on Google Cloud

Our journey in designing and building an ML system for Smart Parks
Go to the profile of Simone Gayed Said
Simone Gayed Said
All you need to know to get started with Vertex AI Pipelines

All you need to know to get started with Vertex AI Pipelines

Sharing our experience using Vertex AI Pipelines in a project running in production
Go to the profile of Yague Ndoye Thiam
Yague Ndoye Thiam
dbt coalesce 2022 recap

dbt coalesce 2022 recap

This year’s edition was taking place in New Orleans. And as in the past editions, we learned a ton about the analytics engineering…
Go to the profile of Benoît Goujon
Benoît Goujon
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