Large Language Models have shown remarkable progress recently and have demonstrated an impressive performance over a wide range of NLP tasks. These large language models are now poised to significantly deliver performance increases for certain writing based tasks, However, concurrently there are issues pertaining to bias, complexity, interpretability and scalability of these models.
This course provides a holistic overview of large language models from an application perspective. Starting with hands-on training on large language models, we proceed to examine large language models from various perspectives. The course covers aspects such as modeling, capability, biases and complexity in the context of large language models.
