GitHub Actions is a powerful continuous integration and continuous delivery (CI/CD) platform that allows developers to automate build, test, and deployment pipelines. Workflows automatically build and test code whenever an event occurs, such as a pull request or a deployment of merged pull requests to production. Best of all, you can use it without leaving the comfort of your own repository!
Contrary to what we see in the movies, artificial intelligence (AI) today is not capable of doing and learning everything on its own. It greatly and principally depends on the feedback that it gets from people. “Human in the Loop” (HITL) refers to the role of human feedback in the AI training process. Before getting into the concept of humans in the loop, let us understand the need for accurately annotated data and get the annotated data at speed.
As the utilization of machine learning and MLOps (machine learning operations) continues to gain traction within organizations, it is imperative to stay abreast of the latest advancements and developments in the field.
With inflation and other disruptive market dynamics massively impacting consumer behavior, is it any surprise that personalization tops the list of strategic actions for CMOs in 2023? Yep, people tend to stick around when digital products and experiences fulfill their personal needs quickly and accurately. And topping the list of powerful tools for personalization? Machine learning and AI, of course, from product recommendations to targeted offers based on digital customer and behavioral data.
In the latest instalment of our interviews speaking to leaders worldwide in tech, we’ve welcomed Mady Mantha, CTO and co-founder of Happypillar.
Artificial Intelligence (AI) is coming, whether we like it or not. It is likely to transform every aspect of what it means to be human and represents an existential opportunity – or potential threat – to everyone living and yet to be born. Hyperbole aside, ChatGPT software intelligence has been a hot news topic of late. While it has some limitations, to many of us it’s the first real glimpse of AI’s capabilities.
Built with BigQuery: How to Accelerate Data-Centric AI development with Google Cloud and Snorkel AI.
Artificial Intelligence has drastically changed the way we look at things today. What was previously possible only by human intervention can now be done with the help of AI. With AI making inroads into most industries, the world of website creation is not far behind. Many large e-commerce companies like Amazon are using AI technology to better understand their customers, provide product recommendations, and improve the user experience on their websites.
Deploying models is becoming easier every day, especially thanks to excellent tutorials like Transformers-Deploy. It talks about how to convert and optimize a Hugging face model and deploy it on the Nvidia Triton inference server. Nvidia Triton is an exceptionally fast and solid tool and should be very high on the list when searching for ways to deploy a model. If you haven’t read the blogpost yet, do it now first, I will be referencing it quite a bit in this blogpost.
Have you tried Googling ‘ChatGPT’ recently? It has been live for only 45 days and the volume of conversations happening about and around ChatGPT is enormous. While ChatGPT is not the topic of this blog today, its popularity has offered a solid ground to talk about the pervasiveness of AI.
Implementing of Artificial intelligence (AI) has changed from being a new fad to a serious organizational objective by 2022. Businesses of all sizes and stages of development are discovering possibilities to adopt AI. Organizations can modify core functions with this deployment, which shows promising outcomes in terms of effectiveness and efficiency. AI has permeated every sphere of our civilization and way of life over the past ten years.
