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Note
Notes here are not meant to be comprehensive. Use it for revision or quick reference.
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Deep Generative Models
- Transformer Architectures
- GANs
- VAEs
- Top NLP papers
- Fine Tuning
- RAG (To Update)
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Transformer Toolkit
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Tokenization Techniques (TODO)
- Inference Techniques (TODO)
- Training Techniques (TODO)
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Basic Concepts
- Activation Functions
- Loss Functions (TODO)
- Optimization Algorithms
- Regularization Techniques
- Normalization Techniques
- Evaluation Metrics
- Classification Metrics (TODO)
- Regression Metrics (TODO)
- Clustering Metrics (TODO)
- NLP Evaluation Metrics
- Computer Vision Evaluation Metrics (TODO)
- Generative Models Evaluation Metrics (TODO)