Data Preparation Tips and Tricks for Machine Learning

Data Preparation Tips and Tricks for Machine Learning

Trelis Research via YouTube Direct link

Q&A

6 of 16

6 of 16

Q&A

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Data Preparation Tips and Tricks for Machine Learning

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  1. 1 Welcome
  2. 2 Fine-web
  3. 3 Clustering and balancing data - Meta Paper
  4. 4 Clustering analysis in Colab
  5. 5 How to prepare chat / Q&A datasets synthetically
  6. 6 Q&A
  7. 7 Handling labeled data for fine-tuning
  8. 8 Setting a chat template for a tokenizer without one
  9. 9 Considerations on novel data and hallucinations
  10. 10 Issues with tokenizer and chat template not aligning
  11. 11 Using mixed-language datasets and their impact on training
  12. 12 Recommendations for models suitable for text classification
  13. 13 Extracting structured data from PDFs and tables
  14. 14 Multi-GPU training considerations
  15. 15 Using the LLM to VEC method for embeddings
  16. 16 Rag pipeline suggestions

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