Back

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

DeepSeek has quietly dropped V3.1, a 685B-parameter open-source LLM on Hugging Face—128K token context, hybrid reasoning/chat/coding, multi-precision support. Early benchmarks: 71.6 % Aider coding, on par with proprietary models & 68× cheaper.

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

𝐀𝐈‑𝐫𝐢𝐬𝐤 𝐣𝐨𝐛𝐬 𝐛𝐲 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 — 𝐟𝐫𝐨𝐦 𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐀𝐈: 𝐌𝐞𝐚𝐬𝐮𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐎𝐜𝐜𝐮𝐩𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐈𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 1. Interpreters and Translators 2. Historians 3. Pas

I didn’t think I’d enjoy reading 80+ pages on training AI models. But this one? I couldn’t stop. Hugging Face dropped a playbook on how they train massive models across 512 GPUs — and it’s insanely good. Not just technical stuff… it’s like reading a

Researchers at Google DeepMind introduced Semantica, an image-conditioned diffusion model capable of generating images based on the semantics of a conditioning image. The paper explores adapting image generative models to different datasets. Instea

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

Dhruv Rathee just dropped a banger AI startup: AI Fiesta. As we know, different AI models excel at different tasks, so switching between them efficiently can be a hassle. With AI Fiesta, you can use multiple AI tools like ChatGPT, Gemini, Claude, Gr

🧠🍏 Apple Just Dropped a Bomb on AI Reasoning, “The Illusion of Thinking” Apple’s latest research paper is making waves and not the usual “faster chip, better cam” kind. In The Illusion of Thinking, Apple’s AI team basically said: “Yeah… large la