Reinforcement learning models, the foundation of many decision-making AI systems, often fail when confronted with minor variations in their tasks.
This development highlights a growing trend among tech companies to create AI agents capable of handling tasks.
It’s anticipated to launch alongside the next major update to Google’s large language model, Gemini.
Agentic AI’s goal-oriented capabilities will bring about more flexible software systems capable of handling a wide range of tasks.
Sectors like healthcare, finance, and logistics are seeing significant boosts in efficiency, with some eliminating manual work entirely.
The potential of AI agents lies in their ability to autonomously complete complex tasks.
Unlike earlier Salesforce agents that required predefined workflows to take actions, the AI agents built with Agentforce can now operate independently.
Salesforce CEO Marc Benioff expressed a similar view, telling the FT that Microsoft’s AI strategy lacks traction.
Salesforce has introduced new AI agent features in Slack, including Salesforce Agentforce, which is now integrated into Slack.