8 posts
Where does an open source LLM stand in enterprise use? License terms, closed-model comparison, operational load, and in which scenario it makes sense.
Open source LLM comparison: the strengths, licenses, sizes, Turkish performance of Llama, Qwen, Mistral and DeepSeek, plus an enterprise model selection framework.
What is Ollama? Ollama is an open-source tool that lets you download and run large language models on your own computer or server with a single command. This guide: a clear definition, how Ollama works, running LLMs locally, GGUF and the model library, hardware requirements, Ollama vs cloud API, and FAQs.
What is Llama? Llama is a family of large language models (LLMs) developed by Meta whose model weights are released openly to everyone. This guide: a clear definition, how Llama works, what an open-weight model means, versions and variants, running it as a local LLM, the Llama license, enterprise and Türkiye use cases, KVKK, comparison with closed models, and FAQs.
What is DeepSeek? DeepSeek is a family of open-source LLMs and reasoning models developed by a Chinese research company, notable for its low-cost training and MoE architecture. This guide: a clear definition, how DeepSeek works, MoE architecture, reasoning-model logic, what being an open-source LLM means, enterprise use, GDPR, comparison with other models, and FAQs.
What is an open-source LLM? An open-source LLM is a large language model whose weights are published openly so you can run it on your own infrastructure. This guide: a clear definition, open weights vs open source, local deployment, licensing, Llama and other models, KVKK/GDPR, comparison with closed models, and FAQs.
A detailed head-to-head comparison of Meta AI (Llama 4 powered, native in WhatsApp + Instagram + Messenger) and ChatGPT: model performance, Turkish fluency, privacy + KVKK + EU data compliance, Imagine image gen, free-tier advantage, multimodal breadth, enterprise use, WhatsApp Business integration, and 8 scenario-based recommendations.
Detailed review of 8+ Chinese LLMs including Moonshot Kimi K2 (1T MoE), Zhipu GLM-4.5, 01.AI Yi-Large/Yi-Lightning, MiniMax abab, and Baichuan: architectures, benchmarks, pricing, open-weight vs API, Turkish fluency, KVKK + data residency legal-risk map, censorship behavior, and a 6-scenario usage guide.