Yo, check it out. So smartphones, right? They used to be all about innovation, each year giving you something new and shiny to drool over. But let me tell you, my iPhone 13 is doing just fine for me. I don’t see the need to rush out and replace it with the new iPhone 15 that just dropped. My old iPhone lasted me a solid four years, man.
I mean, let’s break it down. What are we really getting with these new models? USB-C, a better camera, faster wireless charging. Yeah, it’s all nice and everything, but do we really need it? Most users are doing just fine with what they got.
But here’s the thing, my dude. The real game-changer is right around the corner. I’m talking about AI, baby. AI is about to take our smartphones to a whole new level. We already got those “Big Three” AI chatbots – OpenAI’s ChatGPT, Microsoft’s Bing Chat, and Google’s Bard. You can access them through an app or browser, easy peasy.
But there’s something brewing beneath the surface, my friend. One of the big tech giants is leading the charge. Meta AI Labs dropped their creation called LLaMA back in February. It’s a scaled-down language model that packs a punch. Now, we don’t know the exact numbers, but it’s got way fewer parameters than the big boys like GPT-4 from OpenAI.
Here’s where it gets interesting, bro. LLaMA might not have beaten GPT-4 in a head-to-head showdown, but it’s holding its own, ya know? And the cool thing is, it’s open source, which means a bunch of researchers are jumping on board, making it even better. They’re coming up with models like Alpaca and Vicuna that are crushing it in benchmarking, getting closer to GPT-4 every day.
In July, Meta AI Labs dropped LLaMA2 and it was like a feeding frenzy for AI coders. Everybody was tuning it for different use cases. But wait, there’s more. Meta AI Labs also released Code LLaMA. It’s all about code completions and analysis, my dude. And guess what? A startup called Phind fine-tuned it into a powerhouse that beat GPT-4 in one benchmark. Bam!
Now, here’s the crazy part. These “tiny” language models are proving that they can be just as good as the big ones. And they don’t need to be housed in massive cloud computing facilities. Nope, they can run right on your laptop or even your smartphone. I’ve been rocking the MLC Chat app on my iPhone 13 for months, man. It runs with no problem, even though it’s using a smaller model. I wish I could get the 13 billion parameter one, but my phone doesn’t have enough RAM, you feel me?
But here’s the deal. These personal language models are gonna be a game-changer. They’re gonna be built right into our smartphone operating systems. They’ll have access to all our data – browsing, activity, medical, financial – you name it. And they’ll continuously improve themselves to understand us better. They’ll be like our personal consultants, always there, always looking out for us. And the best part is, they won’t leak our data to the cloud. It’s all gonna stay safe and sound on our devices.
So get ready, my friend. With a bit more memory, our smartphones are gonna get wilder and smarter. It’s gonna be mind-blowing. Can’t wait, man.
