Deepseeks Self Learning Breakthrough Is Incredible (Deepseek R2 News)
AI Summary
Summary of Deepseek’s Self-Improving AI Breakthrough
Overview: Deepseek, an open research company, claims to have developed a self-improving AI model that enhances its ability to answer questions.
Research Publication: On April 7, 2025, Deepseek released a paper detailing the mechanism by which their AI improves, focusing on inference time scaling for reward modeling.
Key Points:
- Improvement Mechanism: The AI uses a reward model to evaluate and improve its responses by simulating multiple assessments (sampling) to derive more accurate scores.
- GRM Judge: Deepseek introduces a new type of judge called the GRM, which provides reasoning alongside scores, resulting in more flexible and detailed evaluations.
- Reinforcement Learning: The AI judge is trained to generate principles and critiques that lead to accurate judgments, reinforcing good behavior over time.
- Sampling Strategy: By asking the judge multiple times for the same evaluation, the final rating is based on combined scores, significantly enhancing accuracy.
Performance Results:
- The new AI judge demonstrates high performance across various tasks.
- It can outperform larger models like GPT-4 when asked the same question multiple times.
- Using a smaller AI (Meta RM) to filter critiques improves the reliability of judgments.
Future Expectations: Deepseek is expected to release their next model, Deepseek R2, possibly as early as May 2025, potentially influencing the AI industry’s competitive landscape.