Kralinceleme Global

This article is the second part of the Artificial Intelligence Map series. In the first part , we discussed proprietary models—ChatGPT, Gemini, Claude, and others. In this part, we’ll explore AI systems whose source code is publicly available, allowing you to run them on your own server if you choose. What Does Open Source Mean? With closed-source models, you couldn’t see behind the scenes—you had to trust the company and use it as is. With open-source models, the rules are different: the model’s weights, architecture, and often the training details are all publicly available. You can download it, run it on your own server, or build something new on top of it. But let’s be clear from the start: open source doesn’t mean “free.” Some models require a license for commercial use, while others are completely free. You need to read the license before using them. Open-Source Models LLaMA 4 — Meta Llama 4 Scout can perform real-time inference and supports multimodal input; it’s ideal for chat ...

  This article is the first in a three-part series. The second part will cover open-source server-based models , while the third part will address models that you can download directly to your device and use without an internet connection. Introduction: Artificial Intelligence Is No Longer an Option Until a few years ago, artificial intelligence was a concept followed only by technology enthusiasts. Today, the picture is strikingly different: more than 1.35 billion people worldwide actively use artificial intelligence tools, which corresponds to approximately 16% of the global population. So, what kind of artificial intelligence are so many people using, what do they need to use, and what is the difference between them? This guide answers precisely that question. When people hear “artificial intelligence,” many think only of ChatGPT. However, this is like saying “animals are big” without seeing an elephant. Today, there are dozens of different artificial intelligence mo...