DeepSeek R1 vs DeepSeek R1 Zero [Architecture Explained] | Run DeepSeek R1 Locally with Ollama

DeepSeek AI has released multiple models, each designed for different tasks. In this video, I explain the differences between DeepSeek-V3, R1, and R1-Zero using research papers, Python code, and Ollama.

What You Will Learn:
1. What DeepSeek V3 is and how it compares to GPT-4o and Meta AI
2. How DeepSeek R1 is designed for logical reasoning and problem-solving
3. How DeepSeek R1-Zero works using only reinforcement learning
4. How to use these models (DeepSeek R1 with Ollama and Python) along with DeepSeek R1-Zero.

Related Videos & Resources:
1. DeepSeek-V3 Complete Breakdown:    • What is DeepSeek? [Technical Report Explai...  
2. DeepSeek R1 & R1-Zero Python Implementation: https://github.com/simranjeet97
3. Ollama Setup Guide: https://github.com/ollama/ollama?tab=...

Next Video:
The next video will compare DeepSeek R1 and Google Gemini Pro 1.5 on real-world reasoning and retrieval-augmented generation (RAG) tasks. Subscribe to stay updated.

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Playlists that make you skilled up
1. GenAI Full Course with LLM Fine Tuning and Evaluation: https://bit.ly/4bJwZla
2. Learn RAG from scratch with GenAI projects: https://bit.ly/3Zl47KD
3. Latest AI/GenAI Research Papers Explained: https://bit.ly/4huqEMT
4. RAG and LLM Use Cases in Finance Domain Projects: https://bit.ly/3AGSRQm
4. Prompt Engineering: https://bit.ly/42v376M
5. Financial Data Analysis and Financial Modelling: https://bit.ly/3OCWI5O
6. Artificial Intelligence Projects: https://bit.ly/3L8lhEi
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8. Explainable AI (XAI) Machine Learning: https://bit.ly/3gsuIxb
9. Face Recognition: https://bit.ly/2YphpHm

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