We’ve all been there: you get a new dataset, and your first instinct is to understand what’s happening beneath the surface. Which features matter most? What relationships exist in the data? How can we visualise complex high-dimensional information? How do we use dimensionality reduction when using ML! This was precisely the situation described in a … [Read more…]
In recent months, discussions about the “Dangers of AI” have become ubiquitous across social media, news outlets, podcasts, and various other platforms. But what exactly makes artificial intelligence dangerous? Is it the sci-fi scenario of machines becoming conscious and taking over the world, or are there more nuanced and immediate concerns we should be addressing? … [Read more…]
In a recent statement that has sparked considerable debate in the tech community, Elon Musk advocated for the complete removal of regulations in AI. Stating that “Regulations, basically, should be default gone… Not default there, default gone.” His argument suggests that market forces alone should govern AI development, with regulations only being implemented retroactively if … [Read more…]
As artificial intelligence continues to transform industries across the board, a heated debate has emerged about its impact on the Software-as-a-Service (SaaS) sector, particularly vertical SaaS companies that provide specialised solutions for specific industries. While some predict the obsolescence of traditional SaaS models, others see opportunities for evolution and enhancement. Let’s dive deep into this … [Read more…]
Artificial Intelligence (AI) is the buzzword of our generation. Tech Giants, aka the Googles and OpenAIs of the world, are competing to gain an edge in the AI space. OpenAI recently launched its new GPT-4o model. The one with multi-modal capabilities with the ability to reason across text, audio and video. In the wake of … [Read more…]
With ChatGPT raging, I explored how to build a chatbot with ChatGPT . This exercise aimed to see if we could tune a custom GPT model based on one’s data. There are two ways to fine-tune the GPT model for this purpose. Either consume the data and use some RAGs to train the bot or … [Read more…]