Retaining Knowledge in AI : Solving Catastrophic Forgetting in LLMs
Author(s): Sanket Rajaram Originally published on Towards AI. Part 1: The Learning Journey of a Kid in the School Imagine a kid in school learning about basic arithmetic in one semester. By the next year, they move on to geometry and algebra, …
Debiasing Vector Embeddings: The First Step Toward Fair AI
Author(s): Sanket Rajaram Originally published on Towards AI. Imagine building a machine learning model that performs with excellent accuracy, only to discover it subtly favors certain groups over others. You check your data, clean your features, even tune your hyperparameters — but …
Retaining Knowledge in AI: Solving Catastrophic Forgetting in LLMs
Author(s): Sanket Rajaram Originally published on Towards AI. Part 1: The Learning Journey of a Kid in the School Imagine a kid in school learning about basic arithmetic in one semester. By the next year, they move on to geometry and algebra, …
Guide to Hardware Requirements for Training and Fine-Tuning Large Language Models
Author(s): Sanket Rajaram Originally published on Towards AI. The Ultimate Guide to Hardware Requirements for Training and Fine-Tuning Large Language Models (LLMs) The rapid evolution of Artificial Intelligence has led to the emergence of Large Language Models (LLMs) capable of solving complex …
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