News from the AI & ML world
DeeperML
george.fitzmaurice@futurenet.com (George@Latest from ITPro
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The AI landscape is rapidly evolving with the emergence of 'DIY' agentic AI development platforms, designed to empower businesses to build and deploy their own AI agents. Major tech companies are increasingly releasing platforms that focus on user customization, allowing businesses to tailor agents to their specific needs. Key players like Oracle, with its 'AI Agent Studio,' OpenAI, AWS, Salesforce, and Workday are offering tools that allow users to create and manage agents across various enterprise platforms. These platforms offer businesses the tooling to make agents rather than simply providing off-the-shelf agents.
The emphasis on user customization stems from the diverse use cases of agentic AI, where tailored solutions are crucial. Frameworks like OpenAI's Agent SDK, LangChain, and CrewAI offer unique capabilities, but also present challenges, including the need to ensure reliability and address ethical considerations. Companies must carefully consider the nuances of different platforms to align with their specific needs and integrate the AI agents effectively. Moreover, the development and deployment of these agents require navigating complexities related to integration with existing systems and maintaining security and continuous improvement.
ImgSrc: cdn.mos.cms.fut
References :
The emphasis on user customization stems from the diverse use cases of agentic AI, where tailored solutions are crucial. Frameworks like OpenAI's Agent SDK, LangChain, and CrewAI offer unique capabilities, but also present challenges, including the need to ensure reliability and address ethical considerations. Companies must carefully consider the nuances of different platforms to align with their specific needs and integrate the AI agents effectively. Moreover, the development and deployment of these agents require navigating complexities related to integration with existing systems and maintaining security and continuous improvement.
ImgSrc: cdn.mos.cms.fut
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References :
- Analytics Vidhya: AI agents are transforming automation and enhancing decision-making across various industries.
- www.itpro.com: The rise of 'DIY' agentic AI development platforms could enable big tech providers to drive AI adoption rates.
- Composio: OpenAI Agents SDK vs LangGraph vs Autogen vs CrewAI
- Shelly Palmer: How to Write Your First AI Agent (Even If You Don’t Know What That Means Yet)
- twimlai.com: Today, we're joined by Dan Jeffries, founder and CEO of Kentauros AI to discuss the challenges currently faced by those developing advanced AI agents. We dig into how Dan defines agents and distinguishes them from other similar uses of LLM, explore various use cases for them, and dig into ways to create smarter agentic systems.
- SiliconANGLE: Salesforce refines agentic platform with flexible database
- BigDATAwire: Accelerating Agentic AI Productivity with Enterprise Frameworks
Classification:
- HashTags: #AIAgents #AgenticAI #AIDevelopment
- Product: AI agents
- Feature: AI agents
- Type: AI
- Severity: Medium