Articles for tag: AI Development, automated workflows, continuous improvement, data evaluation, large language models, performance monitoring, user interaction

Market News

Creating Real-World AI Agents: Insights from DataTalks.Club’s Expert Discussion

Building and maintaining an AI agent in production can be challenging, especially when working with large language models (LLMs). This blog shares the lessons learned from developing and improving their AI Assistant, Copilot, using tools like Arize and Phoenix. It explains how they test new features, monitor user interactions, and continuously iterate to enhance performance. ...

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Revolutionizing Customer Engagement: How AI Agents Enhance Interaction and Satisfaction

AI agents are changing how businesses connect with their customers by providing 24/7 support and personalized assistance. At Reward the World, we have witnessed the significant impact of AI on customer engagement, improving satisfaction and efficiency. These advanced systems use artificial intelligence to understand customer inquiries, offer accurate responses, and learn from interactions. With the ...

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

Sama, a leading company in responsible AI solutions, has introduced Agentic Capture, a new feedback framework designed for complex AI agents that can handle various data types like text, images, audio, and video. This framework enhances how organizations can train and improve their AI models by ensuring consistent and accurate data annotation. It provides valuable ...

Market News

Unlock Efficiency: Build, Use, and Share AI Agents with Glean for Enhanced Productivity

Introducing an advanced AI solution—an agentic reasoning engine designed to enhance business efficiency. These AI agents can think, plan, and act on their own, thanks to Glean’s deep knowledge of various business contexts. They excel at breaking down complex tasks, gathering essential data, and executing workflows accurately. As they work, these agents continuously learn and ...

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