and the distribution of digital products.
\ When OpenAI launched ChatGPT in late 2022, it sparked both delight and concern. Generative AI demonstrated remarkable potential—crafting essays, solving coding problems, and even creating art. But it also raised alarms among environmentalists, researchers, and technologists. The biggest concern? The massive energy consumption required to train and run Large Language Models (LLMs), prompting questions about their long-term sustainability.
Let’s face it, system design is painful.
\ With Leetcode questions, you know the drill — find the algorithm, explain it, code it.
\ With system design, you never know what’ll be asked. Which makes it hard to practice.
\ I was in the same boat. So I did a bunch of research and found questions that are being asked but not available easily. Other popular websites give you 12 or so questions to practice, but those are saturated now - everyone knows them.
\ *** drumroll ***
Apple Intelligence represents a significant innovation in the way users interact with their devices, leveraging generative AI to enhance personalization and functionality across Apple’s ecosystem. By transforming the user experience, Apple aims to create more intuitive and responsive devices, enabling features that cater to individual preferences and needs.
Over sampling and under sampling are pivotal strategies in the realm of data analysis, particularly when tackling the challenge of imbalanced data classes. In various fields, especially artificial intelligence (AI) and machine learning (ML), these techniques play a crucial role in improving model performance by ensuring that the datasets used for training are representative and balanced.
LLM overreliance is becoming a pressing concern as advanced AI tools, particularly large language models (LLMs), gain popularity across various industries. These models can generate human-like text and perform a variety of tasks quickly, leading many to lean heavily on their capabilities. However, this growing dependence raises significant questions about our critical thinking skills and ethical practices in AI usage.
