Machine Learning

Imagine a world where artificial intelligence is a seamless part of our everyday lives. The smart devices anticipating our needs in our homes, adjusting the room temperature just right, playing our favorite tunes effortlessly, and even preparing our morning coffee to perfection. Our virtual assistant being the perfect trusted friend…

With the cost of a cup of Starbucks and two hours of your time, you can own your own trained open-source large-scale model. The model can be fine-tuned according to different training data directions to enhance various skills, such as medical, programming, stock trading, and love advice, making your large-scale…

Large Language Models (LLMs) have captured our attention and imagination in the past 6 months ever since the announcement of ChatGPT. The pace of generative AI development is now engaged in a full sprint towards this exciting area. …

Why traditional AI has the reliability advantage over generative AI — In Part 1 of this series, I said something that I’d thought I’d never say: when we’re dealing with typical enterprise-scale AI systems, trust and safety is easy. What?! Blasphemy! Hear me out. Yes, okay, it’s actually pretty hard. But the difficulty pales in comparison to the trust and safety…

“Economic growth may be constrained not by what we do well but rather by what is essential and yet hard to improve.” — Baumol’s cost disease (1967) Machine Learning (ML) is primarily driven by three fundamental elements: algorithms, data, and compute. However, not all these factors progress at the same…

How a bunch of little functions helps us analyze data. We increasingly live in a data-driven world. Scientists are finding themselves with more and more datasets available to them. As this treasure trove of information continues to increase, it becomes important to keep a varied toolbox of methods to analyze…

Supervised machine learning is a subfield of machine learning (ML) that deals with building models from labeled data in order to predict the outcomes for unseen data. A labeled data set consists of a set of examples that have been “tagged” or labeled with the correct output. In this regard…

I am super excited to announce that I am going to start an 8-week SQL challenge from 8weeksqlchallenge.com! SQL is a powerful and widely used language for data analytics, and I want to master it as much as possible. SQL allows me to query, manipulate, and analyze data from various…

I had so much fun participating in Cleanlab’s Data-centric AI (DCAI) competition! This event comprised of two distinct contests: one focused on text and the other on images. The shared objective of these contests was to accurately classify data points within a clean test set. …