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AI is no longer just catching up — in many areas, it’s already ahead. According to the 2025 AI Index report, models now outperform humans in most technical tasks. From image classification to visual reasoning — machines are setting the pace. In j

LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance

🚀 Musk's xAI launches Grok 4 Fast with 98% cost reduction Excited to share about Grok 4 Fast by Elon Musk’s xAI a breakthrough AI model delivering top-tier reasoning performance at drastically lower costs! With a massive 2 million token context win

OpenAI is about to launch a new AI model called Strawberry in the next two weeks. But here’s the twist: it’s designed to enhance reasoning capabilities. Unlike most conversational AIs that instantly spit out answers, Strawberry will actually "thin

"Grok 3 Is Rolling Out Slowly ", released by xAI on February 17, 2025, is the latest AI model, described as the "smartest AI on Earth" by Elon Musk. It has 10-15 times more computing power than Grok 2, trained on the Colossus Supercomputer with 1

In a few years, we went from: GPT-2 struggling with simple text → GPT-5 reasoning, planning, coding, and remembering context. Here’s the journey in a nutshell: 👉 GPT-2 (2019): Simple text, lots of errors. 👉 GPT-3 (2020): Huge leap (175B params), l

Welcome to on-device Al: Google just dropped an official open-source app for running an Al model locally on a phone Imagine running a powerful Ai - No Internet, No cloud, No lag - right from your phone 📱 Now you can! Google just dropped Al Edge G

AI models are moving fast, and here’s all you should know about GPT-5: • 𝗚𝗣𝗧-5 → full reasoning power for complex tasks • 𝗚𝗣𝗧-5-𝗻𝗮𝗻𝗼 → ultra-fast responses, lightweight • 𝗚𝗣𝗧-5-𝗺𝗶𝗻𝗶 → cost-effective and efficient • 𝗚𝗣𝗧-5-𝗰𝗵𝗮𝘁

"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1️⃣ Fin

We’re building the future of renewable energy forecasting. In a world moving rapidly toward clean energy, **guesswork is no longer good enough**. ⚡ Solar is intermittent. 🌬️ Wind is volatile. 🌊 Hydro is seasonal. 📉 And grid errors are expensive.