Machine Learning for Beginners

  Running DeepSeek on Your Local Machine: Complete Setup Tutorial What Does Running an LLM Locally Mean? Running an LLM (Large Language Model) locally means setting up the model to run directly on your computer, without needing an internet connection. This way, you can interact with the model and process data entirely offline, which is perfect for situations where internet access might be limited or unavailable. For example, imagine you’re in a remote area, or you’re simply avoiding online usage due to security or privacy concerns. With DeepSeek, you can still use the model and get all its functionalities without relying on a cloud server. Device Compatibility In this tutorial, we will run the  DeepSeek 1.5B model , which is a lightweight version designed to run efficiently on a standard CPU. This model requires a minimum of  4GB RAM , making it accessible even on basic computers without high-end hardware. Understanding Model Sizes (B in Model Names) The  “B” in 1.5B...

  Making AI Smarter with Context: The Power of RAG Imagine you ask an AI, “Where is the parking for company quarters?” But since AI models like ChatGPT don’t have personal company data, it won’t be able to answer. It can guess, but it won’t be accurate. Now, let’s change the game. Suppose, along with your question, you provide context — for example: 👉 “Where is the parking?” 👉 Context:  “The parking information is mentioned in the employee handbook under the facilities section.” Now, the AI can use this information to give you the right answer. This process of adding context to a query before AI generates a response is what we call Retrieval-Augmented Generation (RAG). A Simple Analogy Think of a top student who excels in science. If you ask them a tough commerce question, they might not know the answer. But if you give them the right book page to read first, they’ll quickly understand and give you a well-structured response. 📖 In this analogy: The topper student = A pre-tr...