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Salesforce researchers improved an AI agent's task completion rate from 43.5% to 93% by optimizing its reasoning and planning logic rather than retraining the underlying foundation model. This approach demonstrates that significant performance gains in agentic workflows can be achieved through architectural adjustments, offering a more efficient path for deploying advanced AI capabilities without the computational cost of model updates.
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Source coveringSalesforce AI Research
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.
Salesforce researchers took an AI agent from finishing 43.5% of browser tasks to 93% without touching the model
Salesforce AI Research1 min read
Salesforce researchers took an AI agent from finishing 43.5% of browser tasks to 93% without touching the model VentureBeat
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