A workshop hosted by Princeton Language and Intelligence featuring experts on developing, evaluating, and ensuring the reliability of AI agents, with sessions on developer tools, real-world evaluations, and ensuring reliability.
MemryX has launched a $149 M.2 module designed to provide AI processing capabilities for compact systems, offering up to 24 TOPS of compute power and supporting various data formats.
This article discusses methods to measure and improve the accuracy of Large Language Model (LLM) applications, focusing on building an SQL Agent where precision is crucial. It covers setting up the environment, creating a prototype, evaluating accuracy, and using techniques like self-reflection and retrieval-augmented generation (RAG) to enhance performance.
MarkItDown is a utility for converting various files to Markdown, including PDF, PowerPoint, Word, Excel, Images, Audio, HTML, text-based formats, and ZIP files.
Microsoft has open-sourced MarkItDown, a state-of-the-art application designed to convert various file types into Markdown format for seamless integration, collaboration, and accessibility. The tool supports multiple file formats, including PDFs, PowerPoint presentations, Word documents, Excel spreadsheets, images, audio, HTML, text-based formats, and ZIP files, making it a versatile utility for users across different domains.
This paper explores the cultural evolution of cooperation among LLM agents through a variant of the Donor Game, finding significant differences in cooperative behavior across various base models and initial strategies.
Notebook detailing the use of RAG (Retrieval-Augmented Generation) via function calling.
AI integration will transform business structures, shifting from hierarchical to more fluid project-based models, enabling organizations to leverage human and artificial intelligence synergistically.
AI pioneer Andrej Karpathy proposes an AI application that could enhance the e-book reading experience with interactive features. Amazon is reportedly looking for an applied scientist to improve Kindle's reading and publishing experience using AI.
An analysis showing that structured outputs can sometimes perform worse than unstructured ones in certain tasks for different LLM models, emphasizing the importance of testing both approaches.
