AI/ML

Fair Warning Make sure you are using a capable system — ideally with a powerful CPU, GPU, and adequate cooling — before running large language models locally. LLMs can consume significant resources, generate substantial heat, and may cause system instability or damage if your hardware isn’t up to the task. Please proceed with caution! This guide walks you through setting up Ollama (with deepseek-r1-goose) and Goose CLI. Step 1: Download & Install Ollama curl -fsSL https://ollama.com/install.sh | sh Or, if you prefer to download manually then checkout:https://ollama.com/download Ollama-SetUpGuide ...

When diving into AI/ML, we constantly hear about transformers and their revolutionary impact. But how did we get here? The journey started from Traditional Neural Networks ➡ Recurrent Neural Networks (RNNs) ➡ Attention Mechanisms and finally to Transformers. RNNs were a significant milestone because they addressed sequential data processing but had major limitations. These limitations led to the birth of attention mechanisms and transformers. Interestingly, before GPT became a household name, Google extensively used RNNs in their products, including predictive text, speech recognition, and early recommendation systems. ...