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5 technologies shown
- Self-RAG technique Model decides for itself when to retrieve and critiques what it retrieved.
- Diffusion technique Generates data by learning to reverse a gradual noising process.
- Distillation technique Training a small model to reproduce the behaviour of a larger one.
- LoRA technique Fine-tuning by training small low-rank adapter matrices instead of all weights.
- Tokenization technique Splitting text into the subword units a language model actually reads.