DeepSeek R2 Just BEAT GPT-4 At Its Own Game!

DeepSeek has launched an advanced AI system named DeepSeek-GRM, which autonomously learns to analyze, evaluate, and refine its responses through a technique known as Self-Principled Critique Tuning (SPCT). This innovative method enables their 27 billion parameter model to surpass even large-scale models such as GPT-4o across various benchmarks by employing repeated sampling and meta reward models. At the same time, OpenAI is enhancing ChatGPT with improved memory capabilities and gearing up to unveil new models like GPT-4.1, highlighting the rapid evolution of self-improving AI technology.

Key Topics:
- Introduces meta reward models and repeated sampling for smarter, more accurate outputs
- DeepSeek unveils DeepSeek-GRM, a 27B self-teaching AI model using SPCT
- Outperforms GPT-4o and Nemotron-4-340B in benchmarks like Reward Bench and PPE

What You’ll Learn:
- How SPCT trains AI to critique and improve its own answers without human feedback
- Why repeated sampling and meta RM filtering boost accuracy and flexibility
- How this paves the way for smaller models, real-world applications, and future AI development

Why It Matters:
This video breaks down how DeepSeek-GRM is changing the AI game by proving smaller, self-improving models can match or beat giants like GPT-4o pushing AI toward more adaptable, efficient, and intelligent systems.

Видео DeepSeek R2 Just BEAT GPT-4 At Its Own Game! канала Neural Network