7 Annotation Strategies for Superior LLM Fine-tuning and Alignment
Large language models (LLMs) are now dependent less on their parameter count and more on the quality of their instruction data to deliver high-performance results. Advanced annotated strategies for LLM models have now evolved to include many forms of constraint-based annotation including chain-of-thought and negative constraints. One can now fine-tune LLMs by implementing these types of advanced annotation strategies.
