There are times when brevity is a blessing; Sometimes you just need to figure something out quickly to get on with your day. However, most of the time, if you want really learning about a new topic, there is nothing better than spending some time on it.
This is where our deep dives excel: These articles tend to be longer (some of them could easily be turned into a short book!), but they reward readers with top-notch writing, nuanced explanations, and a comprehensive approach. the question or problem at hand. We've published some great articles in this category recently and wanted to make sure you don't miss them.
Happy reading (and bookmarking)!
- Quantizing the ai giants
Sure, Nate CibikQuantization's Complete Guide to Quantization may be an 81-minute read, but we promise it's worth the investment: it's a comprehensive resource for understanding the mathematical foundation of this ever-relevant approach, catching up on recent research, and learning about the practical aspects of implementation. - Linear regressions for causal conclusions
For a comprehensive and highly accessible introduction to linear regression, especially in the context of business problems and decision-making scenarios, head directly to Maria MansurovaThe last explainer, which shows how a relatively simple method can generate sophisticated insights. - Groq and ai hardware: intuitively and comprehensively explained
We all know that recent advances in ai depend on major improvements in computing technology, but fewer among us can explain in detail how this evolution unfolded. This is where Daniel WarfieldBegins the stellar overview of, taking us through all of recent hardware history, from CPUs and GPUs to TPUs and more.
- Dive into Sora's Diffusion Transformer (DiT) at hand
We have a soft spot for patient, well-illustrated guides that focus on one thing (one model, one tool, one workflow) and carefully analyze its nuances. Srijanie Dey, PhD offers just that in its recent deep dive, which focuses on the inner workings of OpenAI's video generation (and model that generates rumors), Sora. - Create an agent with OpenAI function calling capabilities
If your idea of an immersive read involves less language and more code, we suspect you'll appreciate it. Tianyi Li and Selina LiThe patient tutorial from, which guides us through the process of creating a travel assistant agent, one that takes advantage of the feature that requires a more agile and efficient workflow. - Five Powerful Strategies to Ensure ai Doesn't Steal Your Job: A Survival Guide for Spotify Data Scientists
In times of economic and technological uncertainty, it is always a good idea to invest in your core skills. Khouloud El Alami shares several practical insights on the areas you should focus on to make your career more resilient to disruption (whether ai-induced or not). - Overriding in Python: complicated. Dangerous. Powerful.
Do you want to expand your Python toolkit and gain a deeper understanding of a common programming procedure? Marcin Kozak is back with another Python must-read, this one focused on overriding: how it works, why using it carries more than a few risks, and how to harness its power effectively and safely.
