by gegwp1 | Oct 8, 2024 | Financial Consulting
We’ve discussed how variability in a large language model (LLM) output is one of the biggest challenges to creating an effective AI-driven application. If you ask the same question to an LLM-based chatbot, you may get different answers depending on the bot’s...
by gegwp1 | Oct 8, 2024 | Financial Consulting
Creating and training large language models (LLMs) is an expensive and challenging process that most organizations don’t have the resources and capabilities to undertake. So, how do I get an LLM to provide relevant and accurate information enough to automate a...
by gegwp1 | Oct 8, 2024 | Financial Consulting, Industry News
The release of ChatGPT to the public in November of 2020, along with the APIs that allowed developers and businesses to integrate it into their applications and services, has created tremendous demand for AI-driven capabilities. Why? Interacting with a...
by gegwp1 | Oct 8, 2024 | Financial Consulting
Delivering financial services products requires the coordination of many different processes, capabilities, and organizations. When you consider the detailed attributes of the customer, the product, the delivery channel, and the regulatory jurisdiction for...
by gegwp1 | Oct 8, 2024 | Financial Consulting
Most financial institutions agree that their current AML transaction monitoring systems false positive rates range from 85% to 95%. These results beg the question of why do something that has such a horrendous result. False positives represent a real issue...
by gegwp1 | Oct 8, 2024 | Financial Consulting, Industry News
Most conversations about using AI in financial crime compliance programs focus on efficiency, especially reducing the rate of false positives. Most transaction monitoring programs have false positive rates above 90%, and investigating these alerts is a wasted effort....
