In the last blog, we discussed the opportunities and risks of foundational models. Foundation models are trained on a broad dataset at scale and are adaptable to a wide range of downstream tasks. In this blog, we extend that…Continue
Added by ajit jaokar on August 29, 2021 at 10:00am — No Comments
This month, the Centre for Research on foundation models at the University of Stanford published an insightful paper called On the Opportunities and Risks of Foundation Models…Continue
Added by ajit jaokar on August 22, 2021 at 5:30am — No Comments
Even for many data scientists, Probabilistic Programming is a relatively unfamiliar territory. Yet, it is an area fast gaining in importance.
In this post, I explain briefly the exact problem being addressed by Probabilistic Programming
We can think of Probabilistic Programming as a tool for statistical modelling.
We all have a mobile phone and, in this sense, we are all consumers of mobile technology. Over the past four decades, mobile networks have evolved in parallel to the internet. However, the next evolution of the mobile network (5G) has much to offer to the enterprise. Yes, consumers will benefit because 5G is more than 100 times…Continue
Added by ajit jaokar on August 8, 2021 at 9:30am — No Comments
Many areas of AI continue to show innovation at an exciting pace.
For example, today, generative methods are on my radar. So, its nice to see innovation in an area which is stable and mature.Continue
Added by ajit jaokar on August 1, 2021 at 7:00am — No Comments