Web Development

💡 What if your LLM actually thought before answering? Meet GigaChat 3.5 Reasoning — an open-source model trained to reason, not just respond. The Problem: Standard models rush to answers, failing on complex tasks. The Solution: It explores multiple step-by-step reasoning paths for math & coding. An automated verification step reinforces correct paths, teaching it to plan multi-step actions, self-correct, and call external tools autonomously. Built on GigaChat 3.5 Ultra, its proprietary linear attention retains key context points efficiently. Result? 37% fewer tokens than DeepSeek V4 Flash Preview. 📊 The Numbers: • IFBench: 44 → 77 • Natural Plan: 64 → 80 • LiveCodeBench v6: 56 → 85 🔗 MIT License. Weights on Hugging Face: fp8 | bf16

🔅 CSS Clamp clamp(minimum, preferred, maximum); In this example, the preferred value is 50%. On the left 50% of the 400px viewport is 200px, which is less than the 300px minimum value that gets used instead. On the right, 50% of the 1400px viewport equals 700px, which is greater than the minimum value and lower than the 800px maximum value, so it equates to 700px.

🔅 Coding Exercises: MongoDB 📝 Practice your MongoDB querying skills with a series of code challenges thatll help you level up your CRUD expertise in MongoDB. 🌐 Author: John Cokos 🔰 Level: Intermediate ⏰ Duration: 1h 45m 📋 Topics: MongoDB 🔗 Join Web Development for more courses