Part 2: Diving deeper into LLM agents- 25090Murphy2025-03-22
Between the GDPR, the AI Act, the DSA and Common Decency- 29792Murphy2025-03-22
A/B tests are powerful tools, but choosing the wrong statistical test can lead to misleading results. This guide will help you pick the perfect test for your data, to guarantee reliable analysis and make confident recommendations. Just wrapped up your A/B- 24256Murphy2025-03-22
A step-by-step explanation of the method: the representation, image formation model and rendering, optimization, spherical harmonics, etc.- 21481Murphy2025-03-22
My learnings from Databricks customer engagements- 24781Murphy2025-03-22
Large-magnitude outliers, tiny features, and sharp spikes are common frustrations to data visualization. All three can make visual details illegible by scrunching plot components into too small an area. Sometimes a fix can be had by simply excluding unrul- 22570Murphy2025-03-22
Using GPT Vision to interpret and aggregate image data.- 25371Murphy2025-03-22
A new tool that increases the debuggability of managed training workloads- 26037Murphy2025-03-22
Ask an LLM a question without leaking private information- 25521Murphy2025-03-22
A comprehensive guide to the best open-source GIS software- 21828Murphy2025-03-22
Learn about Crystal Bar Charts and create your own with Python- 29382Murphy2025-03-22
When it comes to time series data, you have to do cross validation differently- 28559Murphy2025-03-22
Leveraging AI for smarter logistics and data-driven perspective on container utilization, maximizing efficiency and ROI Photo by Elevate on Unsplash One of the most glaring inefficiencies in logistics is the problem of empty space. Shipping containers, th- 23168Murphy2025-03-22
Motivation There exist publicly accessible data which describe the socio-economic characteristics of a geographic location. In Australia where I reside, the Government through the Australian Bureau of Statistics (ABS) collects and publishes individual and- 21716Murphy2025-03-22
How to formally verify the bounds of your Neural Network- 21841Murphy2025-03-22
Why neural networks may seem better than the KF even when they are not - and how to both fix this and improve your KF itself- 29534Murphy2025-03-22
Gain intuition behind acceleration training techniques in neural networks- 23145Murphy2025-03-22
The variant of multi-head attention powering LLMs like LLaMA-2, Mistral7B, etc.- 24680Murphy2025-03-22
An Intuitive Introduction to the Core Challenges When Working with High-Dimensional Data- 22988Murphy2025-03-22
MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss Functions- 23101Murphy2025-03-22
Why is ChatGPT only trained up until 2021?
Learn how to rearrange your code to achieve significant speed improvements.
