Gang four (not sure this is still relevant as of today.. may be Gang of Four plus 😉 ).. Everyone seems to be building their GPU.. What is cooking? I first heard Tesla was doing it and thought that’s due to semiconductor crisis observed an year back.. However, now companies like Microsoft, Amazon, and Facebook […]
Is Retrieval Augmented Generation (RAG) just a quick fix for an undertrained model, or a game-changer for peak performance? On the surface, it seems like a no-brainer. RAG injects fresh, relevant information, seemingly patching up any knowledge gaps. But the reality is more nuanced. Identifying when your model needs a RAG boost isn’t as simple […]
At first glance, both Microsoft and AWS appear to have been incorporating LLMs into their service offerings for quite some time. I’ve always been curious about how they identify potential projects to pursue. Do competitor roadmaps leak out, or are they open secrets? Access to such information would be invaluable to smaller players and businesses […]
Did you hear that? Is that loud and clear? Yes, now you can share text without sharing videos on TikTok. Not just videos, indeed, anything can be published. In a matter of time, it can be another Twitter or, with some tweaks, even WhatsApp – a messaging app (I know I am a bit overstating, […]
* Can AI predict everything? * Are we expecting AI to predict everything? * If everything is predicted, is that AI? * If AI couldn’t predict 100% then what/who will make the decision? * Won’t be bothering if AI says a % of confirmation and leaves the remaining to the human to decide? #AI #engineeringleadership
Trust me AI is not for everyone. Finding an algo is age old thing and there are plenty at disposal BUT getting trained your model with right set of data is one heck of thing and NOT for everyone (I meant the businesses who try to implement) Even the biggies are struggling to keep it […]
The only thing AI or machine learning algos can do better than humans or existing technology is processing volumes of data. Otherwise, AI can be equally inefficient in accuracy (probably a bit better). In case we expect to have 100% accuracy, then that’s the fault on our side. In case a system can do that, and […]
There are many interesting stuff to note but the GPT store is a one of the most interesting one that stands out. I like the fact of how OpenAI as a company being shaped up. It’s the way how they are planning to have multiple revenue streams. This is very important step for any product/company. […]
It becomes tiresome to see InsurTech still focusing on ‘Quote to Buy’ as an innovative use case. This topic is becoming overcooked. There’s no harm in shamelessly adopting what works for others, replicating it, and moving on. There are plenty of other use cases in the ecosystem that merit attention. Indeed, the real value lies […]
Embedded insurance is a hot topic these days, and that’s a good thing. The concern is when it’s treated as just another coverage plan or as a marketing gimmick to sell old wine in new bottles (both are very costly isn’t it 😂 ) The truth is, customers don’t care what you call it. I’d […]