AI Reasoning Models Explained: How ChatGPT o3 & DeepSeek-R1 Actually “Think” Before Answering

📰 Medium · Machine Learning

Learn how AI reasoning models like ChatGPT and DeepSeek-R1 think before answering, and why it matters for building more intelligent machines

intermediate Published 10 May 2026
Action Steps
  1. Read the article to understand the architecture of ChatGPT and DeepSeek-R1
  2. Analyze the role of attention mechanisms in AI reasoning models
  3. Apply the concepts of transformer models to your own AI projects
  4. Configure and fine-tune AI models using techniques like masked language modeling
  5. Test and evaluate the performance of AI reasoning models using metrics like accuracy and F1-score
Who Needs to Know This

AI/ML engineers and researchers can benefit from understanding the inner workings of AI reasoning models to improve their own projects and applications

Key Insight

💡 AI reasoning models use complex architectures and attention mechanisms to generate human-like responses

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Discover how AI reasoning models like ChatGPT and DeepSeek-R1 think before answering #AI #MachineLearning #DeepLearning
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