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[DataFramed AI Series #1] ChatGPT and the OpenAI Developer Ecosystem

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Fine Tuning vs. Embeddings for Model Retrieval

Fine-tuning is mostly useful for classification tasks with current infrastructure, as it has difficulty retrieving information./nFine-tuning is often used for embedding, which allows direct retrieval of some source of truth./nEmbedding is a better solution for direct retrieval than fine-tuning with current infrastructure./nFine-tuning can still be a viable solution for some problems, but its usefulness is limited with the current infrastructure.

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