11 Best AI Agent Frameworks for Software Developers was originally published in Artificial Intelligence in Plain English on Medium, where people are continuing the conversation by highlighting and responding to this story.
Vision Language Models (VLMs) allow both text inputs and visual understanding. However, image resolution is crucial for VLM performance for processing text and chart-rich data. Increasing image resolution creates significant challenges. First, pretrained vision encoders often struggle with high-resolution images due to inefficient pretraining requirements. Running inference on high-resolution images increases computational costs and latency…
At the NYC Generative AI Summit, experts from Wayfair, Morgan & Morgan, and Prolific came together to explore one of AI’s most pressing questions: how do we balance the power of automation with the necessity of human judgment? From enhancing customer service at scale to navigating the complexity of legal workflows and optimizing human data…
Introduction Galileo is an open-source, highly multimodal foundation model developed to process, analyze, and understand diverse Earth observation (EO) data streams—including optical, radar, elevation, climate, and auxiliary maps—at scale. Galileo is developed with the support from researchers from McGill University, NASA Harvest Ai2, Carleton University, University of British Columbia, Vector Institute, and Arizona State University….
Deepdub, an Israeli Voice AI startup, has launched Lightning 2.5, a real-time foundational voice mannequin designed to energy scalable, production-grade voice purposes. The new launch delivers substantial enhancements in efficiency and effectivity, positioning it for use in dwell interactive techniques equivalent to contact facilities, AI brokers, and real-time dubbing. Performance and Efficiency Lightning 2.5 achieves…
Google AI Research group has introduced a manufacturing shift in Voice Search by introducing Speech-to-Retrieval (S2R). S2R maps a spoken question instantly to an embedding and retrieves info without first changing speech to textual content. The Google group positions S2R as an architectural and philosophical change that targets error propagation within the traditional cascade modeling…
Why Web Agents Struggle with Dynamic Web Interfaces Digital agents designed for web environments aim to automate tasks such as navigating pages, clicking buttons, or submitting forms. These agents operate by interpreting browser data and simulating user interactions to complete specified tasks. Success in this domain requires an accurate understanding of dynamic content and the…