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...

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...

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 ...

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...

Believe it or not but we stand on the edges of a revolutionary transformation. I can feel it. An arena of notable growth recently has been the healthcare sector, where innovation, particularly driven by the application of artificial intelligence (AI), is rapidly accelerating a...

You know how we're always searching for meaning, trying to make sense of our existence? Well, cosmologists and astrophysicists have been doing just that for centuries, expending vast amounts of public funds and divine wisdom to unravel the mysteries of the universe. From the ...

I am late to the party. Several similar 2023 forecasting posts by some exceptionally well-respected mavericks in the tech world have beaten me to it already (Jason Calacanis, Molly Wood, a16z, Howard Marks and endless other analysts, the list goes on). But better late than ne...

Three years on and the coronavirus continues to transform society. Economists and empiricists alike are fascinated by what this virus has done to the world. The health effects have been immense, but the economic implications are just as complicated.

It may be said with some certainty that last year many gradually slipped into insanity. The timing could not have been worse for multiple industries which scrambled to find alternative measures to counter the irregular pandemic. Europe and the UK have been economically inferti...