Answer is A, models that use mathematical-based searches are always related to embeddings.
ChatGPT answer:
The correct answer is:
A. text-embedding-ada-002
Reasoning: To identify files that contain specific phrases using cosine similarity, you should use an embedding model. The text-embedding-ada-002 model is specifically designed to create embeddings (numerical representations of text) that can be used for similarity searches, such as cosine similarity. This model is efficient and optimized for tasks that involve finding similarity between pieces of text, making it ideal for identifying files with specific phrases.
The other options (GPT-4, GPT-3.5 Turbo, and GPT-4-32k) are primarily designed for text generation and do not specialize in embedding-based similarity tasks.
https://learn.microsoft.com/en-us/azure/ai-services/openai/tutorials/embeddings?tabs=python-new%2Ccommand-line&pivots=programming-language-powershell
https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/understand-embeddings
Answer is A
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