Back

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

"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

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

SLM vs LLM — which AI model is best for you? I’ve explained both in simple steps below. 𝗦𝗟𝗠 (𝗦𝗺𝗮𝗹𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹) (𝘴𝘵𝘦𝘱-𝘣𝘺-𝘴𝘵𝘦𝘱) Lightweight AI models built for speed, focus, and on-device execution. 1. 𝗗𝗲𝗳𝗶𝗻𝗲

Text Generation What It Is: Text generation involves using AI models to create humanlike text based on input prompts. How It Works: Models like GPT-3 use Transformer architectures. They’re pre-trained on vast text datasets to learn grammar, conte

Weekly AI Roundup : Cost Efficient Models, Advances in Robotics & Cutting edge AI tools OpenAI Unveils GPT-4o Mini: OpenAI's GPT-4o mini is a cost-efficient model aimed at expanding AI accessibility, offering a significant price reduction compared

Most people overlook these basics of AI Agents. I've explained it in a very simple way below. 1. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 An AI system that observes its environment, information, makes decisions, and takes actions to achieve a goal. 2. 𝗟𝗟𝗠𝘀 (𝗟𝗮𝗿𝗴𝗲

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