This AI Fixes Its Own Code: GLM-4.7 Flash & The "Mixture of Experts" Revolution ⚡ скачать в хорошем качестве

This AI Fixes Its Own Code: GLM-4.7 Flash & The "Mixture of Experts" Revolution ⚡

We usually have to choose between massive, powerful AI models that are slow to run, or small, fast models that aren't very smart. GLM-4.7 Flash changes the equation by using a unique architecture to offer the best of both worlds,. In this video, we test this new "specialist" model to see if it can really code, reason, and fix its own mistakes better than the giants. In this video, we cover: 1. The "Mixture of Experts" Secret 🧠 How do you get the intelligence of a massive model with the speed of a tiny one? We break down the Mixture of Experts (MoE) architecture. Instead of one giant brain, GLM-4.7 uses a team of specialists. It has 30 billion parameters total, but only activates about 3 billion for any specific task, making it incredibly efficient without losing raw power,. 2. The Self-Correcting Coder 💻 Most AIs give up when their code fails. We put GLM-4.7 to the test by asking it to code an animated rocket in HTML. When the first attempt failed, the model actually triggered a self-correction process, analyzed its own errors, and rewrote the code to create a perfect, physically accurate animation. It even generated an internal monologue to diagnose the problem logically rather than just guessing. 3. Advanced Reasoning & SQL 📊 It’s not just for creative coding. We show how the model acts like a senior database administrator. It analyzed a poorly written SQL query, spotted performance issues like inefficient joins, and rewrote it using advanced techniques. We also tested its "multihop reasoning" with a complex historical riddle connecting the US President to the Prime Minister of Canada, which it solved by systematically deconstructing the family trees,. 4. The Verdict: The Rise of the Specialist 🎯 Is this the perfect AI? Not quite. We discuss why it struggled with multilingual translation, proving it isn't a "do-it-all" generalist,. Instead, GLM-4.7 represents a new wave of focused experts designed specifically for deep technical problem-solving rather than general purpose chat. The Big Takeaway: The future of AI isn't just about bigger models; it's about specialized experts. GLM-4.7 Flash proves that if you need code, logic, or deep reasoning, you don't need the biggest model—you just need the right expert for the job. https://huggingface.co/zai-org/GLM-4.... Support the Channel: Do you prefer massive generalist models or specialized experts like this? Let us know in the comments! 👇 #AI #MachineLearning #GLM4 #Coding #MixtureOfExperts #TechReview #SQL #DevTools #FutureOfTech