🤖 Cortex 2.1, Federated Learning, Risk Assessment Scores, MongoDB Sharding research blogs – just another week at Pervaziv AI. Our team is hard at work on both product and research avenues.
🤖 Cortex 2.1: Users can now choose to store Cortex chat history either locally or on our secure remote server. If chosen to store on the secure remote server, Cortex chat history persists across sessions. With these changes, average latency for responses improved by ~1.6x. Users can also notice a significant improvement in quality and stability. We have added several UI changes to Extension Settings. Visit our Release Notes page to know more!
Our Deep Research initiative now includes our work in Enhancing Customer Privacy with the latest Federated Learning research work. Our research team has been exploring Federated Learning (FL), a decentralized approach to machine learning that flips the traditional training script. Instead of bringing the data to the model, FL brings the model to the data.
Our Light Research blogs include Prioritizing Risk Assessment where we analyze various security scores such as EPSS and CVSS. Exploit Prediction Scoring System (EPSS) and Common Vulnerability Scoring System (CVSS) are two widely used scoring systems in cybersecurity, each answering a different question about vulnerabilities.
We also experimented with MongoDB with its Sharding Architecture. When a database needs to handle more data, more queries, or higher throughput, there are two fundamentally different approaches to scaling: Vertical Scaling and Horizontal Scaling. Setting up and observing a sharded cluster end to end provides valuable insight before applying these decisions in production. We provide our quick insights in this blog.
Proud of our high achievers Fivos Allagiotis, Shreya Srirama, Atharva Date, Tanya Yadav, Chloe Sanborn, Jyothsna Lade.
Visit https://pervaziv.com to get our latest innovations!
#Research #FederatedLearning #MongoDB #EPSS #CVSS #RiskAssessment
