Microsoft’s New AI-Powered Copilot Plugins Revolutionize Productivity Across Office

CuPL, also known as Customized Prompts via Language models, is a topic that can be explored further in Towards Data Science.

A group of researchers has developed an algorithm known as Cross-Episodic Curriculum (CEC) to address challenges in applying data-hungry algorithms, like transformer models, to fields with limited data. CEC incorporates cross-episodic experiences into a curriculum to…

“The Book of Why” Chapters 1&2 are part of the Read with Me series. For more information, visit Towards Data Science.

Gemini AI, an advanced NLP model, is designed to exceed current benchmarks due to its multimodal capabilities, scalability, and potential for integration with Google’s ecosystem, marking a substantial advancement in AI technology.

Amazon SageMaker Studio offers fully managed integrated development environments (IDEs) like JupyterLab, Code Editor, and RStudio for machine learning development. The introduction of JupyterLab Spaces allows flexible customization of compute, storage, and runtime resources to improve…

Top AI Tools for Graphic Designers Midjourney Midjourney offers an intuitive AI design tool that monitors design trends and allows users to create visually appealing visuals. Jasper Art Jasper Art uses machine learning to understand user…

Solving the ‘Lost-in-the-Middle’ Problem in Large Language Models: A Breakthrough in Attention Calibration Practical Solutions and Value Despite the advancements in large language models (LLMs), they often struggle with long contexts, leading to the “lost in…

Researchers from Carnegie Mellon University, Shanghai Jiao Tong University, and Honda Research Institute have developed the Open Whisper-Style Speech Model (OWSM), an open-source solution for transparent speech recognition training. OWSM replicates whisper-style training using publicly available…

The development of Large Language Models (LLMs) like GPT and BERT presents challenges in training due to computational intensity and potential failures. Addressing the need for efficient management and recovery, Alibaba and Nanjing University researchers introduce…

MuLan revolutionizes generative AI for text-to-image synthesis, addressing the challenge of complex prompts. It uses a language model for task decomposition and feedback to ensure fidelity to prompts. It outperforms in object completeness, attribute accuracy, and…

The release of Transformers has advanced AI and neural network topologies. They employ self-attention to enhance performance in real-world applications. A recent study presents a mathematical model interprets Transformers as particle systems, showing clustering behavior. It…

This article discusses how marathon runners’ training patterns can be visualized using Strava, Python, and Matplotlib.

Addressing Challenges in AI Research with Contrastive Preference Learning (CPL) Practical Solutions and Value Aligning AI models with human preferences in high-dimensional tasks is complex. Traditional methods like Reinforcement Learning from Human Feedback (RLHF) face challenges…

Advancements in text-to-video (T2V) synthesis using Stable Diffusion (SD) models have enabled automatic video generation from text prompts. Researchers at NVIDIA and Victoria University of Wellington introduced an interface allowing users to control object trajectories through…

Reddit is considering blocking search engine crawlers like Google and Bing due to disputes with AI companies over payment for its data. Initially dismissing the report, Reddit later clarified that user logins were the only thing…

MIT researchers have developed a method called StableRep to address the scarcity of training data for AI image classifiers. They used a strategy called “multi-positive contrastive learning” to generate synthetic images that match a given text…