|￣￣￣￣￣￣￣￣|.| Let's learn & |.| grow together! |.|＿＿＿＿＿＿＿＿|. \ (•◡•) /. \ / . ——. | |. |_ |_.

RT @sysxplore: 4 main types of databases

RT @SymoneBeez: His friend is a Deep Learning Engineer at Nvidia this is what he did.

RT @NikkiSiapno: AI is making code reviews faster (and better). Here’s how: 🧵🔖

RT @elonmusk: I was just lil E back then.

RT @NikkiSiapno: Kafka vs Diskless Kafka — What's the Difference? 🧵🔖

RT @asmah2107: In System Design, I love discussing how someone would scale a web application. The first answer is always "add more servers….

RT @aigleeson: 10 ChatGPT prompts so powerful and useful, they feel illegal to use:

For more details please refer:-.

Apple is making a strong move in GenAI — fast, private, and dev-friendly. If you’re building on iOS/macOS, now is the time to explore the Ffoundation Models Framework. Dev tools + AI just got a serious upgrade. 💪 #WWDC25 #AI #Apple.

Devs can now integrate Apple’s on-device AI models via easy-to-use APIs for:.✅ Summarization.✅ Text classification.✅ Entity recognition.✅ Keyword extraction.✅ Q&A. with minimal code.

Not just that, Apple’s foundation models support 15+ languages, making it easier to build inclusive, global apps out of the box.

These models aren't just for text. Apple integrated a vision encoder too — so you can now build apps that understand both images and text. Multimodal is here.

The on-device model is fast, efficient, and private. Apple shrunk memory use by 37.5% using KV cache sharing and other clever tricks. That means near-instant responses for AI tasks — all without leaving your device.

Apple has introduced a dual-model architecture:.🔹 On-device model (~3B params).🔹 Server model with a mixture-of-experts (MoE) design.Both are optimized for performance, privacy & speed across Apple Silicon and the cloud.

Apple just dropped some big updates on generative AI at #WWDC25 — including powerful new Foundation Models that run on-device and on servers, with a full framework for devs to plug into. Here's what you need to know 👇 #AI #Apple.

RT @pradumna_saraf: If your app logs don’t help during a failure, they failed too.

Apple’s new paper “The Illusion of Thinking” exposes limits of AI reasoning models. LRMs shine on medium tasks but collapse on complex puzzles, questioning true reasoning. Time to rethink AI eval! . #AI #MachineLearning.

RT @svpino: Coding is easy. Thinking is hard.

RT @waitin4agi_: Sam Altman on the future of design jobs

RT @sama: what's happening with ai adoption in india right now is amazing to watch. we love to see the explosion of creativity--india is o….