This text provides a hands-on guide to building a language model for masked language modeling (MLM) tasks using Python and the Transformers library. It discusses the importance of large language models (LLMs) in the machine learning…

The article discusses the importance of cleaning data before performing exploratory data analysis or building machine learning models. It focuses on cleaning a messy car dataset using the pandas library in Python. Various operations are performed,…

Generative models trained on the data they generate tend to deteriorate over time, forgetting the true underlying data distribution. This phenomenon, known as “model collapse,” leads to models over-representing common events and forgetting less frequent but…

Learning to be a professional data scientist requires more than just math skills. It also involves developing social norms, networks, and getting acclimated to the context of work. With the shift to remote and hybrid work,…

MotionDirector is a dual-path architecture that aims to customize motion in text-to-video generation models while maintaining appearance diversity. It uses spatial and temporal pathways to adapt to appearance and motion separately. The method outperformed base models…

The text focuses on the use of GradientTape to update weights. More details can be found on Towards Data Science.

The text discusses the VGG and ResNet architectures from 2014.

This text is about effectively handling indices in data frames. For more information, please read the full article on Towards Data Science.

Mozilla’s Firefox has integrated a review checker, Fakespot, into its browser to combat the prevalence of fake online reviews. Fakespot, an AI-driven tool, assigns grades to reviews on platforms such as Amazon and Walmart, indicating their…

The text discusses the basics of convolutional neural networks.

SEC Chairman Gary Gensler emphasizes the importance of regulating AI in order to prevent a financial crisis. He expresses concerns about the potential for overreliance on AI tools by financial institutions, which could lead to a…

Researchers from Princeton have introduced Sheared-LLaMA models, which are smaller but stronger versions of large language models (LLMs), created through focused structured pruning. The method, which involves targeted structured pruning and dynamic batch loading, effectively reduces…

UniSim, a universal simulator called UniSim, leverages diverse datasets to simulate realistic experiences triggered by human and agent actions. Its applications range from training embodied agents to enhancing video captioning models. UniSim aims to bridge the…

Chinese search giant Baidu showcased its upgraded Ernie Bot chatbot at the Baidu World 2023 conference. Baidu CEO Robin Li claimed that Ernie Bot 4 is on par with OpenAI’s GPT-4 and demonstrated its abilities, including…

Researchers propose a new dataset called Chop & Learn (ChopNLearn) to study compositional generalization in object recognition. They introduce two tasks, Compositional Image Generation and Compositional Action Recognition, to evaluate existing generative models and video recognition…

SEC Chairman, Gary Gensler, warns that Artificial Intelligence (AI) could potentially cause a financial crash in the late 2020s or early 2030s due to concerns about the use of AI models by Wall Street banks. Gensler…

The text explores the topic of consciousness in artificial intelligence (AI) systems. It discusses the challenges of measuring consciousness in AI due to the lack of brains in these systems. It mentions attempts to create tests…

The researchers from Microsoft Research and Stanford University have introduced the Self-Taught Optimizer (STOP), a technique that uses a language model to enhance solutions and achieve self-improvement. They demonstrate how language models can function as their…