It was 2021 when I wrote my first few lines of code using a GPT model, and that was the moment I realized that text generation had reached an inflection point. Prior to that, I had written language…
10 project ideas for building an application with LLMs to extend your data science portfolio.
The last decade has been a thrilling and eventful ride for the field of artificial intelligence (AI). Modest explorations of the potential of deep learning turned into an explosive proliferation of a…
It’s been nearly 2 years since Seth Rosen’s trashboard tweet, and yet the trashboard epidemic is still quite real. We still encounter companies that are curiously happy with having thousands of…
Summarising Best Practices for Prompt Engineering Or how to build your own LLM-based application using OpenAI API by Dmytro Nikolaiev (Dimid)
Ask GPT-4 to prove there are infinite prime numbers — while rhyming — and it delivers. But ask it how your company did last quarter, and it will fail miserably. This illustrates a fundamental…
Data engineering makes up a large part of the data science process. In CRISP-DM this process stage is called “data preparation”. It comprises tasks such as data ingestion, data transformation and…
Exploring the what, why, and how of design docs for data components — and why they matter.
Find out the five biggest signs that you have become a Pandas power user without even realizing it.
With its powerful and flexible functionalities, Pandas has become an indispensable tool for data scientists and analysts. Referring to the statistics reported by PyPI, can you imagine that Padnas…
