Example: a customer service chatbot project- 23204Murphy2025-03-22
Simple methods to replace cluttered bar charts with crisp, reader-friendly visuals.- 20714Murphy2025-03-22
How WebSockets work, its tradeoffs, and how to design a real time messaging app- 27772Murphy2025-03-22
Using Fourier Transform to detect seasonal components- 29279Murphy2025-03-22
Advice from a Lead Data Scientist with 2 promotions in under 2 years- 25697Murphy2025-03-22
DISCLAIMER: The idea of doing Cover Letter or even Resume with AI does not obviously start with me. A lot of people have done this before (very successfully) and have built websites and even companies from the idea. This is just a tutorial on how to build- 22972Murphy2025-03-22
How DeepSeek's budget-friendly AI model stacks up against ChatGPT, Claude, and Gemini in SQL, EDA, and machine learning- 25516Murphy2025-03-22
How to connect the dots between AI technology and real life- 21871Murphy2025-03-22
Introduction Many of us might have tried to build a RAG application and noticed it falls significantly short of addressing real-life needs. Why is that? It’s because many real-world problems require multiple steps of information retrieval and reasoning. W- 26081Murphy2025-03-22
Disentangle features in complex Neural Network with superpositions- 22740Murphy2025-03-22
What's making many people resent generative AI, and what impact does that have on the companies responsible?- 25940Murphy2025-03-22
DeepSeek-R1, OpenAI o1 & o3, Test-Time Compute Scaling, Model Post-Training and the Transition to Reasoning Language Models (RLMs)- 21696Murphy2025-03-22
Popularity of RAG Over the past two years while working with financial firms, I’ve observed firsthand how they identify and prioritize Generative AI use cases, balancing complexity with potential value. Retrieval-Augmented Generation (RAG) often stan- 24561Murphy2025-03-22
DeepSeek has recently made quite a buzz in the AI community, thanks to its impressive performance at relatively low costs. I think this is a perfect opportunity to dive deeper into how Large Language Models (LLMs) are trained. In this article, we will foc- 26417Murphy2025-03-22
Recently, DeepSeek announced their latest model, R1, and article after article came out praising its performance relative to cost, and how the release of such open-source models could genuinely change the course of LLMs forever. That is really exciting! A- 23454Murphy2025-03-22
Accurate impact estimations can make or break your business case. Yet, despite its importance, most teams use oversimplified calculations that can lead to inflated projections. These shot-in-the-dark numbers not only destroy credibility with stakeholders- 27793Murphy2025-03-22
Introduction “Money can’t buy happiness.” “You can’t judge a book by its cover.” “An apple a day keeps the doctor away.” You’ve probably heard these sayings several times, but do they actually hold up when we look at the data? In this article series, I wa- 23588Murphy2025-03-22
An in-depth exploration of the most fundamental architecture in modern AI.- 21730Murphy2025-03-22
Which Outcome Matters? Here is a common scenario : An A/B test was conducted, where a random sample of units (e.g. customers) were selected for a campaign and they received Treatment A. Another sample was selected to receive Treatment B. “A” could be a co- 20611Murphy2025-03-22
Implementing one of the earliest neural image caption generator models with PyTorch.- 28043Murphy2025-03-22
Why is ChatGPT only trained up until 2021?
Learn how to rearrange your code to achieve significant speed improvements.
