Overview
Explore Microsoft Research's latest Phi-4 language model in this comprehensive tutorial video that demonstrates practical applications using Ollama local setup. Learn how to implement the 14B parameter model for various tasks including data labeling, text summarization, structured data extraction, and RAG/question-answering capabilities. Follow along with hands-on coding examples and setup instructions while comparing Phi-4's performance to other models like Qwen 2.5. Discover the model's technical specifications through official documentation, blog posts, and research papers, and gain practical insights into table data extraction and real-world applications using Python. Master the implementation of this advanced language model for complex AI tasks through step-by-step demonstrations and practical examples.
Syllabus
- Welcome
- Phi-4 blog post
- Peter Lee tweet
- Technical report
- Ollama model
- Setup with Ollama
- Coding
- Data labeling
- Text summarization
- LinkedIn post
- Structured data extraction
- Rag/Question-answering
- Table data extraction
- Conclusion
Taught by
Venelin Valkov