Tag: FineTuning

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 […]

Understanding Catastrophic Forgetting in Foundation Models In the realm of artificial intelligence, foundation models are transforming how tasks across multiple domains are approached. However, a significant challenge known as catastrophic forgetting limits their ability to retain previously acquired skills when fine-tuned for new tasks. What is Catastrophic Forgetting? Catastrophic forgetting refers to the phenomenon whereby […]