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DeepSeek R1 Model Testing: Coding, Data Analysis, and Language Tasks with Ollama

Venelin Valkov via YouTube

Overview

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Watch a comprehensive video tutorial exploring DeepSeek R1, an MIT-licensed language model competing with OpenAI's offerings. Learn about the model's training methods, available versions, and practical applications through hands-on demonstrations. Explore various use cases including coding tasks, data extraction, text summarization, and RAG implementations using the quantized 14B version. Discover how to set up and use DeepSeek R1 with Ollama, understand its technical specifications, and evaluate its performance across different tasks like generating hip-hop lyrics, data labeling, and structured data extraction. Get insights into implementing question-answering systems and working with table data while comparing the model's capabilities to existing solutions.

Syllabus

- Welcome
- DeepSeek R1
- Available models
- How to use the models
- Technical paper
- Chat demo
- Ollama models
- Live "AI Engineering" Boot Camp on MLExpert.io
- Notebook setup
- Hip Hop lyrics
- Coding
- Data labeling
- Text summarization
- LinkedIn post
- Structured data extraction
- Rag/Question-answering
- Table data extraction
- Conclusion

Taught by

Venelin Valkov

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