Questions
Answer the following questions with yes or no:
- Do all organizations need to manage large volumes of RAG data?
- Is the GPT-4o-mini model described as insufficient for fine-tuning tasks?
- Can pretrained models update their knowledge base after the cutoff date without retrieval systems?
- Is it the case that static data never changes and thus never requires updates?
- Is downloading data from Hugging Face the only source for preparing datasets?
- Is all RAG data eventually embedded into the trained model’s parameters according to the document?
- Does the chapter recommend using only new data for fine-tuning AI models?
- Is the OpenAI Metrics interface used to adjust the learning rate during model training?
- Can the fine-tuning process be effectively monitored using the OpenAI dashboard?
- Is human feedback deemed unnecessary in the preparation of hard science datasets such as SciQ?
