1z0-1127-24 무료 덤프문제 온라인 액세스

What distinguishes the Cohere Embed v3 model from its predecessor in the OCI Generative AI service?

• A.Emphasis on syntactic clustering of word embedding's
• B.Capacity to translate text in over u languages
• C.Improved retrievals for Retrieval Augmented Generation (RAG) systems
• D.Support for tokenizing longer sentences

What does accuracy measure in the context of fine-tuning results for a generative model?

• A.The proportion of incorrect predictions made by the model during an evaluation
• B.The number of predictions a model makes, regardless of whether they are correct or incorrect
• C.How many predictions the model made correctly out of all the predictions in an evaluation
• D.The depth of the neural network layers used in the model

Given a block of code:
qa = Conversational Retrieval Chain, from 11m (11m, retriever-retv, memory-memory) when does a chain typically interact with memory during execution?

• A.Before user input and after chain execution
• B.Only after the output has been generated
• C.Continuously throughout the entire chain execution process
• D.After user input but before chain execution, and again after core logic but before output

An AI development company is working on an advanced AI assistant capable of handling queries in a seamless manner. Their goal is to create an assistant that can analyze images provided by users and generate descriptive text, as well as take text descriptions and produce accurate visual representations. Considering the capabilities, which type of model would the company likely focus on integrating into their AI assistant?

• A.A diffusion model that specializes in producing complex outputs.
• B.A language model that operates on a token-by-token output basis
• C.A Retrieval Augmented Generation (RAG) model that uses text as input and output
• D.A Large Language Model based agent that focuses on generating textual responses

What is the purpose of Retrieval Augmented Generation (RAG) in text generation?

• A.To store text in an external database without using it for generation
• B.To generate text based only on the model's internal knowledge without external data
• C.To generate text using extra information obtained from an external data source
• D.To retrieve text from an external source and present it without any modifications