How I, One Humble Engineer, Deal...

Let me start this post off by saying that imposter syndrome has already been covered profusely and at length, and there’s probably nothing new I … Read More

In a digital ecosystem where user attention is fragmented and ad-blockers are rising, media companies are finding it harder than ever to maintain let alone … Read More

Precision and recall are commonly used metrics to measure the performance of machine learning models or AI solutions in general. It helps understand how well … Read More

Artificial Intelligence is no longer just a backend automation tool; it’s becoming a collaborator, a strategist, and a catalyst for redefining the very nature of … Read More

Deploying machine learning models can be daunting, particularly when considering the best environment to host your models. AWS and GCP offer robust cloud platforms, but … Read More

  Humanoid robots, those with bodies that resemble humans, could soon help people to complete a wide variety of tasks. Many of the tasks that … Read More

🔘 Paper page: arxiv.org/abs/2112.10508 Abstract «What are the units of text that we want to model? From bytes to multi-word expressions, text can be analyzed … Read More

You know that expression When you have a hammer, everything looks like a nail? Well, in machine learning, it seems like we really have discovered … Read More

There’s been a lot of talk about GPT-3 and generative AI in the news, social media, and probably from every AI practitioner or vendor whom … Read More

In this interview, we speak with Sai Saripalli, Engineering Manager at Autodesk and former technical leader, about the evolving demands of building scalable AI/ML systems … Read More