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DeepSeek-R1: AI Reasoning Gets an Upgrade

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper: https://lnkd.in/dY54Zkbx

1️⃣ RL > Fine-Tuning? This model learns reasoning purely through RL - no supervised fine-tuning needed.

2️⃣ Smarter AI Self-verification, reflection, and long chains of thought emerge naturally.

3️⃣ Fixing the Flaws A multi-stage training pipeline improves clarity and structure.

4️⃣ Open & Scalable Released models (1.5B-70B) based on Qwen & Llama = better AI for all.

5️⃣ Competing with OpenAI Matches o1-1217 in reasoning - RL may be the future of AI training.

Could RL replace fine-tuning?

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#AI
#DeepSeekR1
#LLM
#ReinforcementLearning

DeepSeek-R1 paper pages on reinforcement learning, highlights added

First published on LinkedIn on Jan 29, 2025, 5:43 AM UTC (original). Kept here in full so it stays available; the media are this site's copies of the ones on LinkedIn, also in Venkata Pagadala - Universe.

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