How are chains traditionally created in LangChain?

• A.By using machine learning algorithms
• B.Declaratively, with no coding required
• C.Using Python classes, such as LLMChain and others
• D.Exclusively through third-party software integrations

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Which statement describes the difference between "Top k" and "Top p" in selecting the next token in the OCI Generative AI Generation models?

• A."Top k" and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.
• B."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 tokens.
• C."Top k" considers the sum of probabilities of the top tokens, whereas "Top p" selects from the "Top k" tokens sorted by probability.
• D."Top k" and "Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.

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What does the RAG Sequence model do in the context of generating a response?

• A.It retrieves a single relevant document for the entire input query and generates a response based on that alone.
• B.For each input query, it retrieves a set of relevant documents and considers them together to generate a cohesive response.
• C.It retrieves relevant documents only for the initial part of the query and ignores the rest.
• D.It modifies the input query before retrieving relevant documents to ensure a diverse response.

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What does the Ranker do in a text generation system?

• A.It generates the final text based on the user's query.
• B.It sources information from databases to use in text generation.
• C.It evaluates and prioritizes the information retrieved by the Retriever.
• D.It interacts with the user to understand the query better.

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What is the purpose of the "stop sequence" parameter in the OCI Generative AI Generation models?

• A.It specifies a string that tells the model to stop generating more content.
• B.It assigns a penalty to frequently occurring tokens to reduce repetitive text.
• C.It determines the maximum number of tokens the model can generate per response.
• D.It controls the randomness of the model's output, affecting its creativity.

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