In this talk, we will explore some of the key limitations of LLMs.

Large language models (LLMs) have revolutionized the field of natural language processing, but they are not without their limitations.

Agenda of the Talk -

- Limitation of LLMs -
Hallucinations
Optimization of Context Length
Speed and Cost
Biasedness
Incorporation of Multimodality
LLMs for Other Languages
Ethical Data Generation
Data Privacy
Prompt Injection
- Q&A

Duration - 20 mins

The talk will also discuss the need for retrieval-augmented generation (RAGs) to address some of the limitations of LLMs. RAGs are a type of LLM that are trained to retrieve and synthesize information from a large corpus of text.

The talk will conclude by discussing the future of LLMs and RAGs, and the potential for these technologies to revolutionize the way we interact with system.