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Want to learn AI the right way in 2025? Don’t just take courses. Don’t just build toy projects. Look at what’s actually being used in the real world. The most practical way to really learn AI today is to follow the models that are shaping the indus

https://arxiv.org/pdf/2404.07143.pdf Google has dropped possibly THE most important and future defining AI paper under 12 pages. Models can now have infinite context.

Recently learn how LLM works, maths behind attention layers and transformer, continously trying to keep up with rapid development in AI space, getting so overwhelmed 🥲 Now google came with "Mixture-of-Agents (MoA): A Breakthrough in LLM Performance

Apple 🍎 is planning to integrate Al-powered heart rate monitoring into AirPods 🎧 Apple's newest research suggests that AirPods could soon double as Al-powered heart monitors. In a study published on May 29, 2025, Apple's team tested six advanced A

3B LLM outperforms 405B LLM 🤯 Similarly, a 7B LLM outperforms OpenAI o1 & DeepSeek-R1 🤯 🤯 LLM: llama 3 Datasets: MATH-500 & AIME-2024 This has done on research with compute optimal Test-Time Scaling (TTS). Recently, OpenAI o1 shows that Test-

Seeing more movement around agentic infra and web interaction. - With startups like TinyFish raising $47M to build AI agents that mimic human browsing price tracking, inventory scans, complex task flows, is it clear that today's web wasn’t built for

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