Today's #iPhone16 #Wallpapers
#landscape #MachuPicchu #civilization

#Wallpapers for today.
#AncientPyramid
#MysticalLandscapes
#StormySkies
#JungleMystique
#SunriseTemple
#HistoricalSite
#NatureContrasts
#AerialPhotography
#GoldenSunlight
#LostCivilization

Anyone looking for a cute #card in #react and #tailwindcss ?
Here is one for you.

Beautiful #squirrel .
Feel free to use as your #Wallpapers
#WallpaperWednesdays #NaturePhotography #NaturalBeauty #landscape #landscape photography #NatureBeauty #animal #ai #GenAI #wildlifephotography #iPhoneWallpaper #iPhonephotography

Follow for more.

Here is today's #awesome #iPhone #Wallpapers .
Colourful blobs.

My new favourite wallpaper.

Today's #iPhone #Wallpapers is an #abstractart

The homepage hero is fantastic as well 👌

Credits to Mason

Today's awesome #iPhone #Wallpapers . #landscapes #green #hill .
Feel free to download and use for #free .

if

you want #AppleVisionPro interface style glass panel for your webapp and if you are using #tailwindcss

then

use this - rounded-xl border border-white/10 bg-white/30 px-6 py-3 shadow-lg backdrop-blur-lg

you are welcome 😄

If someone is trying to get #vercel #analytics working and is not able to see the view even after redeploy and everything suggested.

A nifty tip is to disable your adblock and then try.

You are welcome 😄

Today's awesome #iPhone #Wallpapers . #landscape #green #hill . Feel free to download and use for #free .

Post your homescreen below

Today's #iPhone15 #Wallpapers #landscape
Feel free to download and use for #free

Today's #iPhoneWallpaper . #landscapes

Now that is the power of #opensource . #LLaMA3

#LLaMA3 knowledge cutoff date is March 2023?
Why so old?

Try #LLaMA3 now here. Its downright better than the #claude free to use model.

It is awesome that #LLaMA3 is so powerful and being opensource will make it orders of magnitude cheaper than chatGPT.
We need this kind of competition to take LLMs forward.

Now, #openai where is GPT-5.

you're telling me an 8B param model was trained on fifteen trillion tokens? i didn't even know there was that much text in the world

really interesting to see how scaling laws have changed best practices; GPT-3 was 175 billion params and trained on a paltry 300 billion tokens

LLaMA-3 is a prime example of why training a good LLM is almost entirely about data quality…

TL;DR. Meta released LLaMA-3-8B/70B today and 95% of the technical info we have so far is related to data quality:

- 15T tokens of pretraining data
- More code during pretraining

Llama 3 is awesome. But why dont they compare with chatGPT-4