12 June 2024 13:45 - 14:15
Generative AI for text summarization using LLMs
In this session, we will review the lifecycle of a Large Language Model Project. We will discuss some fascinating use cases where LLMs are making a significant impact.
Then, we will have an interesting discussion on various transformer-based language models. We will evaluate different Large Language Models to identify which ones are fit for the Text Summarization Use Case. There will be a demonstration of various Foundational Transformer Models for Text Summarization using the Hugging Face API.
Additionally, participants will gain insights into how to adapt the model for the target domain or task(s) using techniques such as prompt engineering and fine-tuning. Then, we will fine-tune one of the foundational LLMs. We will wrap up by evaluating the models using Rouge Metrics to see how performance of LLMs changes with the adaptation strategies.