Everything you need to know — Introduction Apple’s iPad Air has always been a solid tablet and the device to buy for so many users seeking out a new iPad as it is a good midway point between the premium and pretty expensive iPad Pro, but it is also a much better overall tablet than the very…

The Best Monitor You Can Wait For! — Introduction Back in WWDC 2019, Apple announced its shiny new Mac Pro and along with it, they also revealed a stunning new display, the 6K Pro display XDR. Users were waiting for a while since Apple had not announced a new display for years before the Pro Display XDR. Now, 3…

But Why Cancel the HomePod Originally? — Introduction It is not so often that we see one of Apple’s products fail and become discontinued within a few years of its launch, but the HomePod was a prime example of this as it was released back in 2017 and discontinued a measly 4 years later in 2021. However, recently…

The Man Who Gave Away Billions For $800! — Introduction Everybody who knows anything about tech and even those who don’t know anything about tech knows who Steve Jobs is. …

Everything You Need to Know! — Introduction Apple’s M1 chip was nothing short of a great success and transition that took Apple products to the next level. …

The Man Behind It All! — Introduction For many people, once they hear the name “Apple”, Steve Jobs would always be the first thing that comes to mind, since for so many users around the world, Steve Jobs symbolized Apple and was the only one worth mentioning whenever the biggest Tech company in the world was mentioned…

Your Most Productive Year…Starts with Your Mac — Introduction If you are anything like me, you are intent on making your time count and making sure you are as productive as you can be, or at least try to. …

Evaluation, test coverage, and fine-tuning — In Part 1, we discussed open-source models, proprietary models, and model evaluation. This part is going to be more focused on further evaluation, “test coverage”, and fine-tuning. LLM Metrics It’s challenging to determine which metrics to measure for generative models, and there’s a focus on task-specific performance for traditional machine learning compared…

Open-source models, proprietary models, and model evaluation — Should you go with open-source or proprietary models? When it comes to language models, there is a lot of friction with open-source models due to licensing issues. While serving open-source models can create problems like difficulty in training and serving, proprietary models are easier to handle. However, there are cases where open-source models are needed for customization and…