In this module, explore LLMs like GPT and BERT. Learn about their components, capabilities, and fine-tuning techniques, and apply this knowledge to real-world NLP tasks.

Developing Large Language Models

In this module, we will explore Large Language Models (LLMs) like GPT-2, GPT-3, and BERT, focusing on their components, types, and capabilities. We’ll cover fine-tuning techniques such as model selection, data preparation, and training, and apply these insights to practical NLP tasks to optimize LLMs for real-world applications.

Large Language Models (LLMs)

Here’s a quick summary of what we learned from the ‘‘Large Language Models (LLMs)” module.

Getting Started with LLMs

Conclusion

Final Remarks