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Welcome to the second post about GNN architectures! In the previous post, we saw a staggering improvement in accuracy on the Cora dataset by incorporating the graph structure in the model using a…
In Information Theory, Machine Learning, and Statistics, KL Divergence (Kullback-Leibler Divergence) is a fundamental concept that helps us quantify how two probability distributions differ. It’s…
Part of communicating the significance of your research is having figures that tell your story. Coding allows the investigator the opportunity to create applications that not only facilitate…
This is the third part of a series of posts on the topic of building custom operators for optimizing AI/ML workloads. In our previous post we demonstrated the simplicity and accessibility of Triton…
AI is changing many things about our efficiency and how we operate: sublime translations, customer interactions, code builder, driving our cars etc. Even if we love cutting-edge things, we’re all…
As data scientists, we rarely get asked LeetCode-style questions, so the need for us to learn data structures and algorithms is less than for software engineers. However, being able to write…
In this article, we examine a tool called FormulaFeatures. This is intended for use primarily with interpretable models, such as shallow decision trees, where having a small number of concise and…
The alignment problem is usually talked about in the context of existential risk. Many people are critical of this idea and think the probability of AI posing an existential risk to humanity is tiny…
These past few months, I’ve been exploring various data visualization and manipulation tools for web applications. As a Python developer, I often need to handle large datasets and display them in…
Geographic data is important in many analyses, enabling us to decide based on location and spatial patterns. Examples of projects where geodata can come in handy include predicting house prices…
In today’s data-driven world, organizations rely heavily on accurate data to make critical business decisions. As a responsible and trustworthy Data Engineer, ensuring data quality is paramount. Even…
The maximum number of tokens that a Large Language Model can process in a single request is known as context length (or context window). The table below shows the context length for all versions of…
Today, new libraries and low-code platforms are making it easier than ever to build AI agents, also referred to as digital workers. Tool calling is one of the primary abilities driving the “agentic”…
Disclaimer: I am a solutions architect at Databricks. The views and opinions expressed in this article are my own and do not necessarily reflect those of Databricks. Schema evolution is a common…
People use large language models to perform various tasks on text data from different sources. Such tasks may include (but are not limited to) editing, summarizing, translating, or text extraction…
I don’t have a PhD nor do I have a technical background. Instead, I come from a finance background and had worked in FinTech for several years as an analyst. The first 3 months of onboarding as a Data Scientist turned out to be quite different than that of my experience as an analyst…
Industries like manufacturing, energy, and telecommunications require extensive quality control to ensure that their equipment remains operational. One persistent issue that most components are…
I have been using Visual Studio Code for several years, and I strongly consider it one of the best existing IDEs. While some may still prefer JetBrains IDEs, which are also very popular, Visual…
A few weeks ago, I was tasked with optimizing a slow-performing Power BI report. Of course, there can be dozens of reasons why your Power BI report performs slow, but in this post, I want to share…
In this article, I will use data from InsideAirbnb to reveal Airbnb’s ownership patterns. Then, I’ll walk you through how I came to my conclusions so you can do the same for your city. I am sure…
TSV is a widely used format for storing tabular data, but it can be confusing when working with textual data and the Pandas library. Two factors cause the confusion: In the story, I briefly discuss…
Look at any LLM tutorial and the suggested usage involves invoking the API, sending it a prompt, and using the response. Suppose you want the LLM to generate a thank-you note, you could do: While…
An inductive bias in machine learning is a constraint on a model given some prior knowledge of the target task. As humans, we can recognize a bird whether it’s flying in the sky or perched in a tree…
There’s always something exciting and energizing in the air when we flip the calendar to September, and this year was no exception. Sure, bidding farewell to long sunny days and a slightly slower…
This article is based 100% on my experience, my research, and what I’m observing in the European market. Things might look slightly different in the rest of the world, but we’re all facing the same…
Advancements in Large Language Models (LLMs) have captured the imagination of the world. With the release of ChatGPT by OpenAI, in November, 2022, previously obscure terms like Generative AI entered…
Discover a 3-step framework for identifying early customer behaviors that drive long-term retention and engagement. Learn how top companies find their 'silver bullet' for success.