This website details MicroSims, simple animations/simulations generated using generative AI to aid in teaching concepts. It discusses limitations of system prompts, the importance of a MicroSim registry for training AI, and provides examples.
This Perspective outlines ways in which generative artificial intelligence aligns with and supports the core ideas of generative linguistics, and how generative linguistics can provide criteria to evaluate and improve neural language models.
Local Large Language Models can convert massive DataFrames to presentable Markdown reports — here's how.
This article examines the dual nature of Generative AI in cybersecurity, detailing how it can be exploited by cybercriminals and simultaneously used to enhance defenses. It covers the history of AI, the emergence of GenAI, potential threats, and mitigation strategies.
Learn how to create custom AI assistants to streamline recurring tasks and challenges, saving time and increasing efficiency. These assistants can store recurring elements of prompts to streamline tasks and enhance efficiency.
The Institute of Foundation Models at MBZUAI focuses on advancing research in Generative AI, developing foundation models for various data types, and driving innovation in healthcare, climate change, and sustainability.
The article discusses Organizational Jazz as a new practice and culture within organizations that uses the practice and culture of musical Jazz as a meta-model. It explores how generative AI and conversational architectures can transform work environments, emphasizing improvisation, collaboration, and continuous learning.
A tutorial on creating a data dashboard prototype using Goodreads reading data and generative AI tools like Vizro-AI. The process includes chart generation, setup of a Jupyter Notebook, and deployment on PyCafe.
The article discusses the role of AI agents in generative AI, focusing on tool calling and reasoning abilities, and how they can be evaluated using benchmarks like BFCL and Nexus Function Calling Benchmark.
Amazon's AI shopping assistant Rufus helps customers make informed decisions by answering shopping-related questions using a custom language model and innovative techniques in generative AI.
