In this paper, we explore the relevance of large language models (LLMs) for annotating references to Roman and Greek mythological entities in modern and contemporary French literature. We present an annotation scheme and demonstrate that recent LLMs can be directly applied to follow this scheme effectively, although not without occasionally making significant analytical errors. Additionally, we show that LLMs (and, more specifically, ChatGPT) are capable of offering interpretative insights into the use of mythological references by literary authors. However, we also find that LLMs struggle to accurately identify relevant passages in novels (when used as an information retrieval engine), often hallucinating and generating fabricated examples--an issue that raises significant ethical concerns. Nonetheless, when used carefully, LLMs remain valuable tools for performing annotations with high accuracy, especially for tasks that would be difficult to annotate comprehensively on a large scale through manual methods alone.

In today's world, Artificial Intelligence (AI) is all around us. Whether you're using navigation apps such as Google Maps or talking to your nearby smart assistant, it is undeniable that the age of AI is impacting the lives of millions with this new technology. As Dr. Kai-Fu Lee, a Computer Scientist & AI expert, states "AI is going to change the world more than anything in the history of mankind. That's why it is important for our future generations to be learning about some fundamentals of AI. At Winchester Thurston Summer Camp, we did just that with Ready AI! Ready AI held a one week long summer camp session at Winchester Thurston from July 12th -- 16th reviewing the fundamentals of AI.

Effectively managing and storing trade data will ensure that technology used to comply with current regulations remains usable for future requirements, says the chief product and engineering officer, Calypso. "[Having] data in a consistent format, where applications dealing with different product types, different parts of the trade life cycle and workflow are all contributing to that data source, and reading from that same data source, makes the job of reporting on that data so much easier," says Calypso's Richard Bentley. "Without that, for every single regulation that comes along, you are going to have to go to every application involved in the workflow that is impacted, modify those applications to extract the right data from each, pull it all together in a consistent format, try to transform and enrich it - and do that continually." In the 2019 bobsguide Rankings – announced in late November – Calypso ranked top for both regulatory compliance and integration with other systems. The firm came second in the degree of straight-through processing category.

Effectively managing and storing trade data will ensure that technology used to comply with current regulations remains usable for future requirements, says the chief product and engineering officer, Calypso. "[Having] data in a consistent format, where applications dealing with different product types, different parts of the trade life cycle and workflow are all contributing to that data source, and reading from that same data source, makes the job of reporting on that data so much easier," says Calypso's Richard Bentley. "Without that, for every single regulation that comes along, you are going to have to go to every application involved in the workflow that is impacted, modify those applications to extract the right data from each, pull it all together in a consistent format, try to transform and enrich it - and do that continually." In the 2019 bobsguide Rankings – announced in late November – Calypso ranked top for both regulatory compliance and integration with other systems. The firm came second in the degree of straight-through processing category.