Deepseek

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Curriculum

1. DeepSeek V3.1: Bigger Than You Think!

2. New DeepSeek R1 is Really, Really Good Coder

3. DeepSeek Just Updated—The Best Coding Model Yet?

4. Supercharge Your RAG with DeepSeek's Reasoning Model

5. DeepSeek’s 500% Profit Margin—How Are They Doing It?

6. Supercharge Your RAG with DeepSeek's Reasoning Model

7. OpenAI’s O3 Mini vs. DeepSeek R1: Which One Wins?

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DeepSeek V3.1: Bigger Than You Think!

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DeepSeek V3.1 is a unified hybrid reasoning open-weight model that powers agentic workflows—FP8 training, strong post-training for tool/function calling (non-thinking), Anthropic API support, and big SWE-Bench gains. In this video I unpack pricing and token efficiency, benchmark V3.1 vs R1 and Claude Sonnet 4, and show how to use it for coding agents without wasting tokens. LINKS: https://api-docs.deepseek.com/news/news250821 https://huggingface.co/deepseek-ai/DeepSeek-V3.1 Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 00:00 DeepSeek V3.1 00:31 Hybrid Inference Model Explained 01:04 Performance and Efficiency Improvements 05:02 Token Efficiency and Cost Implications 08:03 API and Hosting Considerations 13:23 Testing

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