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