Image by Author   In this post, we will explore the new state-of-the-art open-source model called Mixtral 8x7b. We will also learn how to access it using the LLaMA C++ library and how to run large language models on reduced computing and memory.     Mixtral 8x7b is a high-quality sparse mixture of experts…

This week on KDnuggets: Enroll in the free OSSU Computer Science degree program and launch your career in tech today • Understand what prompt engineering is, and to learn more about some of the most important techniques • The year of Generative AI in review • And much, much more! Source link

Image by Author   Pandas has long been the go-to library when dealing with data. However, I am pretty sure most of you might have already experienced the agony of sitting for hours while our Pandas try to deal with big DataFrames. For those who have followed the recent developments in Python, it's hard…

Image by Author   In today's digital age, the quote by Michael Hakvoort, "If you're not paying for the product, then you are the product", has never been more relevant. While we often think of this in relation to social media platforms like Facebook, it also applies to seemingly harmless free resources such as…

Image by Author   When you’re on the verge of wanting to learn something new, a big factor you consider is how much this will cost you. With how the world is and the cost of living, we don’t blame you. It can be hard to want to elevate your career and upskill without…

    Sam Altman, OpenAI's CEO, presents product usage numbers at the OpenAI Developer Day in October 2023. OpenAI consider three customer segments: developers, businesses, and general users. link: https://www.youtube.com/watch?v=U9mJuUkhUzk&t=120s   At the OpenAI Developer Day in October 2023, Sam Altman, OpenAI's CEO, showed a slide on product usage across three different customer…

Image by Author   What a year, ey?  At the start of 2023, people were struggling to keep up with the tech world. One day this was getting released, the next day a competitor came out with something else, and then you heard about something new. It was a lot.  But the momentum continued…

How often do machine learning projects reach successful deployment? Not often enough. There's plenty of industry research showing that ML projects commonly fail to deliver returns, but precious few have gauged the ratio of failure to success from the perspective of data scientists – the folks who develop the very models these projects are meant…

Image by Author   I like to think of ChatGPT as a smarter version of StackOverflow. Very helpful, but not replacing professionals any time soon. As a former data scientist, I spent a solid amount of time playing around with ChatGPT when it came out. I was pretty impressed with its coding capacity. It…

Image by Author   Data Governance and AI fatigue sound like two different concepts, but there is an intrinsic connection between the two. To understand it better, let’s start with their definition.      It has been the core focus of the data industry for a long time. Google puts it well – “Data…