Articles for tag: AI performance, data management, generative AI, reliability concerns, storage efficiency, storage industry, technology investment

Market News

Storage Industry Embraces AI: Exploring the Search for Game-Changing Applications in Data Management and Storage Solutions

The storage industry is rapidly investing in technologies to support generative AI workloads. Companies are working on tools to better manage data and enhance AI performance. Current efforts focus on storing and accessing large data sets required for AI training and inference, with significant potential for ongoing remote access. Despite the enthusiasm from industry leaders, ...

Market News

Rabbit’s New Android AI Agent: Promising Technology with Room for Improvement in User Experience and Functionality

Tech startup Rabbit is back in the news with a new “generalist Android agent” that can control apps and perform tasks on an Android tablet. In a recent demonstration, the AI agent showed its abilities by adjusting settings, playing YouTube videos, adding items to a grocery list, sending poems via WhatsApp, and creating documents. However, ...

Market News

Sama Launches Agentic Capture: Advanced Data Capture Framework for Enhanced Multi-Modal Agentic AI Solutions

Sama, a leading company in responsible AI and data labeling, has launched Agentic Capture, a new feedback framework designed for multi-modal AI agents. This innovative platform improves how AI can learn and adapt by effectively processing diverse data types such as text, images, and audio. As the Market for agentic AI rapidly grows, with projections ...

Market News

AI Agents: Overwhelmed by Tools, Proving They’re Not at Human-Level Yet in LangChain Insights

LangChain recently conducted experiments to determine the limits of single AI agents in handling tasks. They discovered that while single agents, like the ReAct agent, can perform specific tasks such as answering questions and scheduling meetings, they can become overwhelmed when given multiple instructions or contexts. As the number of tasks increased, the agents struggled ...

Market News

Enhancing AI Performance: Benefits of Mismatched Training Environments in Uncertain Conditions

MIT researchers have uncovered a surprising phenomenon called the indoor training effect, which suggests that training AI agents in less uncertain environments can lead to better performance when they face unpredictable real-world scenarios. Traditionally, engineers strive to match training conditions with actual deployment to ensure success. However, the study, which involved training AI to play ...

Market News

Galileo Launches Agentic Evaluations to Help Developers Create Trustworthy AI Agents Efficiently and Effectively

Galileo has launched Agentic Evaluations, a groundbreaking solution designed for developers to assess the performance of AI agents powered by large language models. This tool provides the necessary insights to enhance agent reliability and readiness for real-world applications. With the rise of AI agents automating complex tasks, there are new challenges developers face, such as ...

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