Yes, AI can turn garbage data into gold. All you need is…well, garbage! Today, AI algorithms are becoming easier to interface with. However, the challenge lies not in the algorithms themselves, but in the inadequate data that makes them underperform. Interestingly, most businesses lack the data necessary to do anything meaningful with AI. Some do […]
Gen AI hallucination is in a way represents human intelligence. Why hallucination happens? Insufficient or Biased Data training Overfitting – data variance deprivation Complex Input Patterns – In simple words, a complex, unpredictable input/question to the model. It’s like how some of us would have attended the school/college exams without enough preparation. Model limitation and […]
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, […]
* 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
I thought AI would learn human? If the humans needs to learn prompt engineering to use LLMs then aren’t we – the humans are learning the so called AI? 😂 #AI #llm #softwareengineering
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 […]
Are you rushing to stamp everything as Cloud Native and Serverless architecture? It’s undeniably interesting to develop an application as Cloud Native, Serverless, etc., but is it always the best choice? Before you say a big yes, wide open your eyes and have a second look. Did you consider the compounding cost benefit analysis? Just […]
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 […]