What is the main advantage of using vector quantization in handling vector data?
Temperature sampling adjusts the probability distribution of predictions. A higher temperature results in more randomness and less confidence in predictions, while a lower temperature makes the model more deterministic. Why Other Options are Incorrect:
What is the main purpose of using "tokenization" in Large Language Models?
Explanation: Fine-tuning the LLM on a dataset of legal documents ensures the model is specialized for legal queries and relevant case law retrieval. Why Other Options are Incorrect:
C. Fine-tuning requires supervised data, not unsupervised. D. Training from scratch is different from fine -tuning. You need to summarize lengthy legal documents using OCI's Generative AI service. The summary should be concise, capturing the essential points without losing critical legal nuances. Which pretrained foundational model should you use to achieve this?
➢ TOTAL QUESTIONS: 420 In LangChain, which retriever search type is used to balance between relevancy and diversity?
