The Long Short-Sequence Transformer (LSS Transformer) is a new efficient distributed training method for transformer models with extended sequences. It segments sequences among GPUs, resulting in faster training and improved memory efficiency. The LSS Transformer outperforms other sequence parallel methods, achieving impressive speedups and memory reduction. It has potential applications in DNA sequence analysis, document…

Researchers from Zhipu AI and Tsinghua University have introduced CogVLM, an open-source visual language model that aims to enhance the integration between language and visual information. This model achieves state-of-the-art or near-best performance on various cross-modal benchmarks and is expected to have a positive impact on visual understanding research and applications.

Engineers have created a method to rapidly detect various system failures prior to real-world use.

Determinism is a philosophical theory about the nature of the universe, suggesting that there is no randomness and that every event has a set of causes. This idea of determinism is relevant to various aspects of data science, including probability theory, irreducible error in machine learning models, the concept of a “god” model, causality and…

Readers Digest offers a gradual learning path for data engineering in an article on Towards Data Science.

Child psychiatrist David Tatum from North Carolina has received a 40-year prison sentence for his involvement in the production, transportation, and possession of child pornography. What sets this case apart is Tatum’s use of AI to digitally manipulate images of minors, turning them into sexually explicit content. Some of Tatum’s victims were reportedly his own…

This text is a comprehensive guide to 10 common clustering algorithms used for Hierarchical, Partitional, and Density-Based Clustering. For more details, visit Towards Data Science.

Google DeepMind researchers have proposed a framework called ‘Levels of AGI’ to categorize and understand the behavior of Artificial General Intelligence (AGI) models. The framework focuses on autonomy, generality, and performance, offering a common vocabulary to evaluate risks and track advancements in AI. It emphasizes responsible integration into human-centric contexts and provides a structured way…

Neural MMO 2.0 is an advanced multi-agent environment for reinforcement learning research. It offers a flexible task system that allows users to define diverse objectives and reward signals. The platform has undergone a complete rewrite and is now compatible with CleanRL. It provides a dynamic space for studying complex multi-agent interactions and reinforcement learning dynamics.…

This text introduces Survival Analysis and its application in Python. It is available on Towards Data Science.