probabilities, not a uniform distribution. What is the primary purpose of LangSmith Tracing?
How does the integration of a vector database into Retrieval -Augmented Generation (RAG) -based Large Language Models(LLMS) fundamentally alter their responses?
Cosine Distance: Focuses on the orientation of the vectors regardless of their magnitude. It measures the cosine of the angle between two vectors, which normalizes the vectors to unit length. This makes it a measure of the angle (or orientation) between the vectors, providing a similarity score that is independent of the vector lengths. Reference: Research papers on text embedding comparison metrics Technical documentation on vector similarity measures Which is a cost -related benefit of using vector databases with Large Language Models (LLMs)?
What issue might arise from using small data sets with the Vanilla fine-tuning method in the OCI Generative AI service?
D. T-Few fine -tuning relies on unsupervised learning techniques for annotation. False. T -Few fine -tuning relies on supervised data for fine -tuning, not unsupervised techniques. When should you use the T -Few fine -tuning method for training a model?
➢ TOTAL QUESTIONS: 420 In LangChain, which retriever search type is used to balance between relevancy and diversity?
