Welcome to the ‘Courage to learn ML’. This series aims to simplify complex machine learning concepts, presenting them as a relaxed and informative dialogue, much like the engaging style of “The…
Graph neural networks (GNNs) and large language models (LLMs) have emerged as two major branches of artificial intelligence, achieving immense success in learning from graph-structured and natural…
Data modelling is an essential part of data engineering. In this story, I would like to talk about different data models, the role of SQL in data transformation and the data enrichment process. SQL…
In Autumn 2022, I was working on a cool project. Yes, you guessed it — finetuning LLMs on company-specific data. However, soon enough, ChatGPT was released and has taken the world by storm. And what…
Embark on an exhilarating journey into the limitless possibilities of Large Language Models (LLMs) with this article, offering an exclusive lineup of six free and hands-on notebooks. Dive into the…
Using LLaMA-7B, Pytorch analyzed the performance issues that are CPU-bound. That means the overhead is the first target to make it more efficient.. In comes the compiler. By compiling larger regions…
Inventory optimization is a broad problem that arises across many domains. The central question is all about figuring out: I think you are a bike shop manager. Every day, you need to contact your…
Data Scientists tackle a wide range of real-life problems using data and various techniques. Mathematical optimisation, a powerful technique that can be applied to a wide range of problems in many…
To avoid the old adage of “garbage in, garbage out,” it makes sense that you should spend considerable time understanding and cleaning your data. I recently read “The Kaggle Book” by Konrad…
Version control is a crucial practice! Without it, your project may become disorganized, making it challenging to roll back to any desired point. You risk losing critical model configurations…
