A Foundation Model for Medical AI

We describe PLIP, a foundation model for Medical AI. PLIP is a vision language model built to support AI tasks in pathology.

How to Use LangChain’s Chains and GPT Models to Generate Endless Content Ideas: A Step-by-step Guide.

Luckily, in March 2023, Open AI released API for its most powerful models, such as GPT-4 or GPT-3.5. And that was the real game-changer. Since then, opportunities are endless. You can now take…

Evolution in Your Code Part 2: How to Solve a Staff Allocation Problem Using Genetic Algorithms

If you came here from my previous article, Evolution in Your Code: Understanding and Coding Genetic Algorithm From Scratch — Part 1, welcome back. If you’re new here, I recommend reading the first…

Unveiling Knowledge in the Data Age

Each passing year brings us increasingly powerful computers, more cost-effective storage solutions, and improved data transmission capabilities. These remarkable technological achievements/…

Inventory Optimization with Data Science: Hands-On Tutorial with Python

Inventory optimization is like solving a tricky puzzle. As a broad problem, it arises across many domains, it is all about figuring out how many products to order for your store. Think about a bike…

This AI newsletter is all you need #65

This week in AI, we had developments in AI regulation from the Capitol: tech leaders such as Elon Musk and Mark Zuckerberg joined over 60 senators to chat about AI, and guess what? They all agree —…

Is Julia Faster than Python and Numba?

Numba is a an optimisation library with execution times in the same ballpark as C, but can it compete with Julia in terms of functionality and speed?

Prompt Engineering 101: Zero, One, and Few-Shot Prompting

Despite their seemingly supernatural capabilities, LLMs are ultimately predictive models that simply predict the next word in the sequence of words based on the provided context. As such, their…

Regex for the Modern Data Scientist — Part 2

In the previous article, we analyzed the RegEx fundamental elements. We discovered how patterns can be considered an alternation of character sequences (what to match), quantifiers (how many times)…