#推理模型
7 related articles
Tech Frontiers·2 min
Claude Opus 4.8 Thinking Effort Calibration Explained: A Critical Optimization Direction for AI Reasoning Models
Anthropic releases Claude Opus 4.8 with optimized thinking effort calibration. This article explains what it is, why it matters for AI reasoning models, and its impact on industry competition.
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Industry Insights·2 min
The Comeback Story of o1: From Severely Underestimated to Changing the History of AI Reasoning
A look back at OpenAI's o1 model 18 months after launch: from being dismissed as overhype to breaking through math reasoning barriers and solving Olympiad-level problems.
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Tutorials·2 min
DeepSeek R1 Usage Guide: Prompt Techniques & Practical Tips (2025)
A detailed guide to DeepSeek R1's reasoning capabilities and prompt techniques, covering reasoning vs. general models, core capabilities, and practical prompt strategies for 2025.
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Tutorials·3 min
OpenAI Open-Sources GPT-OSS: Run O4-Level Models on 16GB VRAM — Complete Deployment Guide
OpenAI open-sources GPT-OSS (20B/120B) with MOE architecture and native FP4 precision. Run O3-level reasoning on a single RTX 4090. Full deployment guide for Ollama, vLLM, and more.
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Deep Dives·3 min
Alibaba's QwQ-32B Open-Sourced: How 32B Parameters Rival DeepSeek R1's 671B
Alibaba's open-source reasoning model QwQ-32B achieves performance rivaling DeepSeek R1 (671B) with only 32B parameters through a two-stage reinforcement learning strategy on verifiable tasks.
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Deep Dives·3 min
Reinforcement Learning Drives AI Reasoning Evolution: From Imitator to True Thinker
How RL, Self-Play, and Verifiers work together to evolve LLM reasoning — driving the leap from SFT imitation to true System 2 deep thinking.
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