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In today's video tutorial, we are focusing on fine-tuning GPT-3. The video will cover why fine-tuning is necessary, the advantages of fine-tuning GPT-3, and the steps involved in fine-tuning a GPT-3 model. Previous videos on GPT-3 prompt writing, integrating prompts into Python code, GPT-3 embedding, and sentiment analysis have been discussed. When building an application using GPT-3, the usual approach involves giving the model instructions on what needs to be achieved and providing examples for context.
