News from the AI & ML world
DeeperML - #agents
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John Werner,@John Werner
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Companies are rapidly adopting AI agents to enhance various business operations. Salesforce, for example, has integrated AI agents into their Agentforce platform, amassing insights from over 500,000 customer conversations, showcasing how AI can drive both empathy and efficiency. The interest in leveraging AI agent designs to optimize processes is growing, as businesses seek to harness the power of intelligent automation. Companies are increasingly interested in how to get the most out of new agentic AI designs.
Agent Architect is emerging as a critical role, tasked with designing and implementing intelligent agent workflows using low-code tools. These architects bridge the gap between business goals and AI automation, mapping processes to workflows and designing agent behaviors that adapt and evolve with minimal human intervention. Lyzr is helping to train Agent Architects with the aim of accelerating automation strategies. This new role is essential, as analysts, developers, and system engineers were not originally hired to manage agentic AI. Furthermore, partnerships are forming to extend the reach of AI agents into government sectors. Leidos and Moveworks are collaborating to provide agentic AI solutions to government agencies in the U.S., U.K., and Australia, aiming to improve efficiency for government workers. Moveworks has received security certifications from Leidos, showing their capacity to support government agencies with secure AI solutions. Additionally, Zero Networks is promoting automated microsegmentation to enhance cybersecurity through zero trust policies, isolating assets within networks to limit the impact of cyberattacks, with automation seen as key to practical real-world network security.
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Matt Marshall@AI News | VentureBeat
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OpenAI has unveiled a new suite of APIs and tools aimed at simplifying the development of AI agents for enterprises. The firm is releasing building blocks designed to assist developers and businesses in creating practical and dependable agents, defined as systems capable of independently accomplishing tasks. These tools are designed to address challenges faced by software developers in building production-ready applications, with the goal of automating and streamlining operations.
The newly launched platform includes the Responses API, which is a superset of the chat completion API, along with built-in tools, the OpenAI Agents SDK, and enhanced Observability features. Nikunj Handa and Romain Huet from OpenAI previewed new Agents APIs such as Responses, Web Search, and Computer Use, and also introduced a new Agents SDK. The Responses API is positioned as a more flexible foundation for developers working with OpenAI models, offering functionalities like Web Search, Computer Use, and File Search.
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Soumyadeep Sarkar@The Tech Portal
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OpenAI is reportedly planning to launch specialized AI agents with hefty price tags, ranging from $2,000 to $20,000 per month. These agents are designed to handle complex, high-value tasks for professionals and organizations, targeting high-income knowledge workers, software developers, and researchers. The pricing reflects the immense computational resources, specialized training, and potential for high-value ROI that these agents offer. The move signals a shift towards highly specialized AI services tailored to specific professional needs.
These AI agents are not standard chatbots but are custom-built for specific, high-value tasks. For example, a high-income knowledge worker agent ($2,000/month) could handle complex research, while a software developer agent ($10,000/month) and a PhD-level research agent ($20,000/month) would cater to advanced needs in those respective fields. The high costs are justified by the extensive server infrastructure, massive datasets for training, and the potential for significant savings or revenue increases for businesses.
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