Real-life AI: See how empowering car workshops and carwashes with AI to asses vehicle repair could be incredibly easy.
After writing a series of articles on how to apply IA to recruiting, I decided it was time to take a break and change the topic of my articles (at least temporarily).
This article is the continuation of a series of posts covering applying AI and semantic search to tech recruitment. You can read them here:
Have you ever wanted a sourcing platform where you could start a recruitment workflow with this text:
“Startup is looking for a founder engineer with experience in Ethereum and smart contracts. Experience in frontEnd development with Angular is also desired.”
Hi, thanks for being here. I suppose that if you are reading this article, you might have already heard about GPT-3, the powerful AI created by OpenAi. I will not be entering into much detail about GPT-3’s history and capabilities because I think there are already many excellent introductory articles about this fantastic AI on the web.
Are you a recently graduated software engineer looking for your first job? Or has it been a while since you applied for a job as a software engineer? Either way, interview processes might seem intimidating. Let’s see what the interview process is for us, software engineers.
Para mi una de las aplicaciones más interesantes y útiles en la práctica del ML es la detección de fraudes en transacciones financieras, un campo de acción que puede ser manejado desde el enfoque de modelos de clasificación o también desde el análisis de anomalías.
Improving productivity is undoubtedly a continuous goal for container terminal operators in Colombia. The task of sustaining or improving operational efficiency along with financial margin and at the same time providing an attractive service to customers is a difficult challenge that every day is becoming more complex to address.