We’re in the middle of an AI bubble, and companies are scrambling to catch up. Reading through investor relations transcripts from FTSE UK and S&P 500 companies, you’ll see it everywhere—AI, GenAI, machine learning. But here’s the thing: it’s not as simple as slapping some...

Introducing RAG I've explained it briefly in past LLM 101 posts on this blog already. But just to paint in some finer details: An RAG, or Retrieval-Augmented Generation, is a technique used to enhance the capabilities of Large Language Models (LLMs) by incorporating external ...

It's not just for your favorite sci-fi flick anymore. In fact, scientists have been spending a great deal of time on this brain-buster for ages, and let's just say, it's complicated. But first off, the laws of thermodynamics are pretty clear: time likes to march forward. No go...

While AI and Large Language Models (LLMs) represent groundbreaking advancements for humanity, if we zoom-in a little bit more, these technologies only form a part of the broader digital transformation journey for the majority of enterprises. Yep, this is the reality and is es...

Tell us something we don't already know. Germany's Bundestag is a complex political arena. Especially, when it comes to social welfare policy making. The intricacies of this politcal arena often escape notice until, like a big slap, you find yourself in the crosshairs of poli...

Prompt Engineering (PE) Unpacked In my previous post, I touched on the topic of prompts. Diving deeper, Prompt Engineering (PE) stands out as a pivotal tool when harnessing the capabilities of Large Language Models (LLMs). PE allows us to direct LLMs towards desired outcomes ...

Programming languages are in a continuous quest for the ideal notation, syntax, and abstraction to model computational problems. There have been many debates on many different themes. From Turing machines, the Halting Problem to algorithmic processing vs computing as a series...

In the mad world of software, the valuation of a company is a topic that perpetually piques the interest of industry insiders. The task of predicting the success trajectory of a SaaS startup (robinhood style) during the early seed phase is daunting and at times, pretty useles...

Alright, let's dive back into the world of Language Learning Models (LLMs), picking up where we left off in my last kiss and hug. See this post as the second act or second installment. My previous post revolved around the bedrock of LLMs, delving into the transformer architect...

What is a Large Language Model (LLM)? Transformer-derived LLMs represent an exciting advancement in AI. And we shall begin here. The intricacies and nuances of communication are captured in these models by their ability to comprehend and generate human language. As a result...

Global healthcare systems are under significant strain to deliver improved, cost-efficient care. The shift away from fee-for-service towards value-based models, which tie reimbursement to quality, has intensified this need. Certainly the medical device sector needs to go under...

Lately, I've been pondering the art of reading economic, socio-economic, or any old academic paper teeming with data. Surprisingly, there aren't many up-to-date guides available on this subject. However, fear not, for I stumbled upon some an amazing open-source course which p...