A.It converts all sparse vectors to dense vectors.

B.It significantly reduces the size of the database.

C.It standardizes vector lengths for meaningful comparison using metrics such as Cosine Similarity.

D.It ensures that all vectors represent keywords only.

A.They are more expensive but provide higher quality data.

B.They offer real-time updated knowledge bases and are cheaper than fine-tuned LLMs.

C.They require frequent manual updates, which increase operational costs.

D.They increase the cost due to the need for real- time updates.

A.Top K considers the sum of probabilities of the top tokens, whereas Top" selects from the Top k" tokens sorted by probability.

B.Top k and Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.

C.Top k and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.

D.Top k selects the next token based on its position in the list of probable tokens, whereas "Top p" selects based on the cumulative probability of the Top token.

A.It determines the maximum number of tokens the model can generate per response.

B.It assigns a penalty to frequently occurring tokens to reduce repetitive text.

C.It com rob the randomness of the model* output, affecting its creativity.

D.It specifies a string that tells the model to stop generating more content

A.Assigns a penalty to tokens that have already appeared in the preceding text

B.Specifies a string that tells the model to stop generating more content

C.Controls the randomness of the model's output, affecting its creativity

D.Determines the maximum number of tokens the model can generate per response