Groq recently recieved much attention as one of the quickest LLM Inference method available. It provides 25x speed than OpenAI and 10x than Google Gemini...
In this article, I explore the seven essential subscriptions that supercharge my productivity, focus, and learning as a practicing data scientist. From AI that answers my questions to simple beats…
As an analytics engineer, one of the most challenging problems I face is bridging the gap between engineering and analytics. Engineering and analytics are often siloed into their own teams, making…
2023 was a turbulent year for many job seekers. At least for me, it felt like quite a journey. Over the 11 months between January and November, I had 107 career-related conversations and applied to…
ORPO is a new exciting fine-tuning technique that combines the traditional supervised fine-tuning and preference alignment stages into a single process. This reduces the computational resources and…
Despite their significant power and remarkable potential to become our only go-to solution for many of our AI and data-related problems in the near future, LLMs struggle with data analysis…
When we have Meter data, we want to calculate consumption over time. What looks very simple can be complicated if we have multiple meters for different areas, values, etc. Let’s see how we can solve this in Power BI.
On-the-fly interactive choropleth and bubble map code. “Buckle Up For Beautiful Python Plotly Mapping With GPT-4 Prompting” is published by John Loewen, PhD in Towards AI.
I decided to contribute to a well known, open source library, namely, Pandas. See what is involved behind the scenes, and how you could contribute too.
This article explains prompting chatbased Large Language Models (LLM) like GPT. It gives non AI experts a basic introduction everyone can understand
