Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Testing InternLM3 8B for Coding, Data Analysis, and RAG Applications

Venelin Valkov via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
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

Reviews

Start your review of Testing InternLM3 8B for Coding, Data Analysis, and RAG Applications

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.