Building an intelligent agent is just the first step; understanding how well it’s performing is crucial. This process involves tracing and evaluating the agent’s behavior to ensure it’s making the right decisions and generating useful responses. Tools like Arize Phoenix help you track each action your agent takes, making it easier to identify issues and ...
Discover the newly released “Mastering AI Agents” eBook, a comprehensive guide filled with expert insights on developing reliable and scalable AI agents. This ~100-page book covers essential topics, including selecting the right framework for your needs, enhancing agent performance, and identifying potential issues. It is structured into five informative chapters: an introduction to AI agents, ...
Discover the ultimate guide to building effective AI agents with the new “Mastering AI Agents” eBook from Galileo. Spanning around 100 pages, this comprehensive resource is designed for anyone looking to create powerful, scalable AI systems. Inside, you’ll learn how to choose the right frameworks, evaluate performance, and troubleshoot production issues. The book features five ...
Galileo, a startup based in San Francisco, has launched a new product called Agentic Evaluations to enhance trust in artificial intelligence systems. As AI agents, which handle complex tasks, are increasingly adopted by companies, ensuring their reliability after deployment is crucial. The company helps businesses like Cisco and Ema, who use AI for tasks such ...
Discover the exciting realm of Multi-Agent Systems (MAS), where multiple AI agents collaborate to solve complex problems and improve productivity. These systems go beyond simple tasks, working independently and efficiently to achieve shared goals. To ensure their success, it’s crucial to evaluate their performance through metrics that assess cooperation, resource usage, and output quality. Building ...
Discover the dynamic world of Multi-Agent Systems (MAS) that enhances productivity by enabling AI agents to collaborate with humans on complex tasks. From drafting reports to debugging code, these systems offer a glimpse into the future of work. Evaluating the effectiveness of MAS is crucial and involves measuring how well agents cooperate, utilize resources, and ...
In 2025, enterprise AI is set to make significant advancements, and businesses must refine their AI strategies to stay competitive. Key areas to focus on include the development of AI agents that improve operations and customer interactions, and the use of evaluations to ensure accuracy and alignment with company goals. Additionally, cost efficiency will allow ...
