🔑Further videos in the series will explore practical aspects of using large language models.
🔑Further videos in the series will explore practical aspects of using large language models.
What is prompt engineering?
—Prompt engineering refers to using large language models out of the box without modifying their internal parameters.
What is model fine-tuning?
—Model fine-tuning involves adjusting the internal parameters of a pre-trained language model for a specific task or use case.
Can I build my own custom language model?
—Yes, building custom language models with specific parameters and capabilities is possible, but it requires advanced technical expertise and computational resources.
Are large language models suitable for all tasks?
—Large language models can be used for a wide range of tasks, but their performance may vary depending on the specific use case and the quality of fine-tuning.
What can I expect from future videos in this series?
—Future videos will dive into practical aspects of using large language models, including prompt engineering, model fine-tuning techniques, and building custom models from scratch.
00:00Introduction to large language models and their applications.
08:20Explanation of three levels of usage: prompt engineering, model fine-tuning, and building custom models.
11:59Overview of model fine-tuning techniques and their benefits.
12:26Discussion on the challenges and requirements of building custom language models from scratch.
13:41Teaser for future videos exploring practical aspects of working with large language models.
