Securing Generative AI Models: Understanding Threats and Defenses
Generative AI has become the core technology dominating most of the new innovations happening of the last few years. It is at the core of what we do at Sense Street. But as a new technology matures from research to production, so do the security and privacy risks presented by this technology.
Once-Click Extraction: Precision and Efficiency in Every Trade Request
Learn How ING Automates Sales Trader Workflow (STW) with Sense Street.
Unlocking the Power of Conversation in Capital Markets
At Sense Street we’re building AI that reconstructs counterparty intentions in all the messiness of financial chat data. But what does this endeavour really involve?
Data Curation for Fine-Tuning Language Models in Capital Markets
Time to put the spotlight on what really drives the success of machine learning models: data curation. Learn how annotations can effectively tackle the unpredictability of the human language.
Making Sense of Chat: GenAI in Capital Markets
We discuss the challenges and opportunities of using chat in Capital Markets, explore the latest techniques for addressing these issues, and share the challenges and solutions we have encountered in implementing production-scale Generative AI models.
Tools in Capital Markets Powered by GenAI
Learn how you can use the data that Sense Street extracts in your workflows and how our platform automates tasks, and provides visibility into trading activities to meet regulatory requirements. It is a great webinar packed with actionable information.
Architectures for the Deployment of GenAI in the Enterprise
In enterprise environments, enhanced security, redundancy, and robustness are crucial for managing high throughput. Learn how to deploy large generative models in these settings while ensuring efficiency and reliability.
Securing Large Generative Models
We'll explore practical steps to safeguard your models, including robust security measures and threat detection, to protect against malicious actors and ensure AI system integrity.