Tag: differential

Understanding Differential Privacy and Its Real-World Implications Differential privacy (DP) is a critical privacy framework in today’s data-driven world. It ensures that the output of algorithms remains statistically distinct, even when a single user’s data changes. What is Differential Privacy? Differential privacy is a mathematically rigorous approach to data privacy. It guarantees that the result […]

Optimizing Algorithms for Large Language Models (LLMs) In the fast-evolving world of artificial intelligence, optimizing algorithms for Large Language Models (LLMs) is essential to ensure performance and privacy. In this blog post, we’ll explore how to fine-tune algorithm implementations for better results. The Challenge of “Out-of-the-Box” Algorithms Running standard algorithms “out-of-the-box” for LLMs can lead […]