@thom.code: Every LLM For Developers Simply Explained Ever wondered what actually makes GPT, Claude, Gemini, Llama, DeepSeek, and other AI models different? The AI world is moving incredibly fast, with new models, benchmarks, and AI products appearing constantly. But behind all these names are different approaches to training, reasoning, efficiency, context, and real-world use. In this video, we break down some of the most important LLMs shaping today's AI landscape in a simple and easy-to-understand way. No complicated mathematics or unnecessary jargon — just the core idea behind each model and why it matters. ⏱️ Timestamps: 00:00​ GPT 00:43​ Claude 01:21​ Llama 01:58​ Mistral 02:34​ Gemini 03:14​ DeepSeek 03:54​ Qwen 04:35​ Grok 05:14​ Gemma 05:53​ KIMI 06:35​ Perplexity 07:17​ GLM Whether you're a developer, programmer, student, AI enthusiast, or simply curious about how modern AI works, this video will help you understand the current LLM ecosystem quickly. If you're learning AI, building AI applications, experimenting with LLMs, or trying to keep up with the rapidly evolving AI industry, this is a quick overview of the models you should know. Different LLMs are built for different purposes. Some focus on reasoning, some on coding, some on multimodal capabilities, some on efficiency, and others on running AI locally. Understanding these differences makes it easier to choose the right model for the right task. Subscribe for more simple explanations of AI, programming, software development, and modern technology. Which LLM are you using the most right now? #ai ​ #llm ​ #gpt ​ #claude ​ #gemini ​ ​ ​ ​ ​ ​ ​ ​ ​ ​

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Monday 17 August 2026 04:20:32 GMT