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.
The article explores the challenges associated with generative artificial intelligence systems producing inaccurate or 'hallucinated' information. It proposes a strategic roadmap to mitigate these issues by enhancing data quality, improving model training techniques, and implementing robust validation checks. The goal is to ensure that AI-generated content is reliable and trustworthy.
Generate realistic sequential data with this easy-to-train model. This article explores using Variational Autoencoders (VAEs) to model and generate time series data. It details the specific architecture choices, like 1D convolutional layers and a seasonally dependent prior, used to capture the periodic and sequential patterns in temperature data.
AI art solutions for the creative economy. State-Of-The-Art machine learning demos that are quick and easy to use. Your adventure with Generative AI starts right now.
The article discusses the integration of Large Language Models (LLMs) and search engines, exploring two themes: Search4LLM, which focuses on enhancing LLMs using search engines, and LLM4Search, which looks at improving search engines with LLMs.
