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.
How simple prompt engineering can replace custom software
Microsoft has deployed GPT-4, a large language model, in an isolated, air-gapped Azure Government Top Secret cloud for use by the Department of Defense. Once accredited, Pentagon officials will be able to use the technology in a secure environment. The tool is expected to help DOD officials deal with vast amounts of data and simplify information sorting. Microsoft is a major investor in OpenAI, the maker of GPT-4 and the popular ChatGPT.
