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When and how to fine tune GPT 3.5 Turbo - Fine tuning 101
In this episode, we will explore the process of fine-tuning GPT 3.5, an advanced language model. We will introduce the concepts of zero-shot, few-shot, and multi-shot learning,
and discuss how they relate to fine-tuning. We will also cover the use cases for GPT 3.5 fine-tuning and the steps involved in the fine-tuning process. Fine-tuning allows developers to customize GPT 3.5 Turbo to suit different use cases, improving its performance on specialized tasks. With this podcast, you will gain a comprehensive understanding of the latest developments in AI and how to unlock its full potential.
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By RamasubramaniamIn this episode, we will explore the process of fine-tuning GPT 3.5, an advanced language model. We will introduce the concepts of zero-shot, few-shot, and multi-shot learning,
and discuss how they relate to fine-tuning. We will also cover the use cases for GPT 3.5 fine-tuning and the steps involved in the fine-tuning process. Fine-tuning allows developers to customize GPT 3.5 Turbo to suit different use cases, improving its performance on specialized tasks. With this podcast, you will gain a comprehensive understanding of the latest developments in AI and how to unlock its full potential.