Overview
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Watch a detailed 17-minute tutorial exploring the capabilities of InternLM3 8B, an Apache 2.0 licensed instruction-tuned language model, running locally through Ollama. Learn how this 8B parameter model, trained on just 4 trillion tokens, outperforms competitors like Llama3.1-8B and Qwen2.5-7B across various benchmarks. Follow along with practical demonstrations of the model's deep thinking mode and its applications in coding tasks, data extraction, text summarization, data labeling, and RAG (Retrieval-Augmented Generation). Discover how to set up a Jupyter Notebook environment, process hip-hop lyrics, create LinkedIn posts, handle structured data extraction, and perform question-answering tasks. Evaluate whether this efficient model could serve as your go-to 8B parameter language model for local deployment.
Syllabus
- Welcome
- Live "AI Engineering" Boot Camp on MLExpert.io
- InternLM3
- Ollama weights
- Jupyter 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