In today’s Financial Industry, performance of application is one of the most critical aspects. Whether it is a banking application dealing with millions worth of transactions, balance transfers or trading application dealing with time sensitive trades and orders or...
As artificial intelligence continues to expand, the importance of effectively communicating with large language models (LLMs) is crucial. Whether you are a data scientist, business user, AI developer, or engineer, structuring and contextualizing...
As AI agents become increasingly prevalent in software applications, it's essential to ensure they're performing optimally. But how do you measure their success? The answer lies in evaluations (evals). In this post, we'll explore the importance of evals for...
The quality of an AI solution is frequently thought of in terms of its predictive performance. If we can get good, generalizable, results on validation and test datasets, then we have satisfied the requirements for deploying an AI system, right? Not necessarily....