Dr. Ljiljana Dolamic's recent lunch seminar at the Cyber-Defence Campus was a captivating overview of Large Language Models (#LLMs), shedding light on their #breakthroughs, #dangers, and #limitations. Here's a glimpse into the key takeaways:
Dr. Dolamic began by tracing the evolution of language modeling tasks, emphasizing the significant shift brought about by Neural Language Modeling. Despite the transformative impact of models like the Transformer architecture in tasks such as machine translation, LLM developments continues to capture the interest of NLP practitioners.
One highlight of the discussion was the spotlight on #GPT-4 and its integration with user-friendly interfaces like Chat-GPT. Promoted as a solution for a myriad of tasks and bolstered by features like fine-tuning and Retrieval Augmented Generation (#RAG), these models have garnered attention for their potential to streamline processes. However, Dr. Dolamic also aptly addressed the inherent risks accompanying LLMs, including the susceptibility to hallucinations and biases.
As we look back on the seminar, it serves as a timely reminder of the complexities inherent in the realm of language modeling. By acknowledging both the promises and pitfalls of LLMs, participants left equipped with a deeper understanding of this evolving landscape.