Explore the newly announced GPT-3.5 fine-tuning capabilities in this comprehensive video tutorial. Delve into the implications of this update, examining the fine-tuning data format, API calls, and step-by-step processes. Learn about pricing, data preparation, cost estimation, and practical Python code implementation. Gain insights on improving datasets, explore fine-tuning examples, and generate Python code for API calls using the Playground. Cover frequently asked questions and access additional resources, including links to related videos and documentation, to enhance your understanding of GPT-3.5 fine-tuning.