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@sfresearch
We advance state-of-the-art #AI techniques paving the path for innovative products at @Salesforce. Focus areas: #AIAgents, #EnterpriseAI, #EGI, and #TrustedAI.
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A post says Salesforce and colleagues trained it to generate several research ideas from source papers in one pass.
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Salesforce AI Research says Deep Insights traces root causes, while Moirai forecasts demand and flags anomalies.
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Salesforce Research says the chapter includes a view of advantage centered on orchestration, memory, feedback loops and dark data.
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SFResearch says the language-modeling conference is scheduled for October 6–9 at San Francisco’s Hilton Union Square.
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SFResearch says its system combines code optimization, training-method discovery and scalable infrastructure. It reports TrainForge gains of 11–14 percentage points on held-out math, code and research benchmarks.
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Salesforce AI Research tweet contrasts past monitoring with real-time operational intelligence from EVP Silvio Savarese.
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Salesforce AI Research shares arXiv paper on RL framework for user agents.
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The post highlights a new arXiv paper on open-world skill evolution for language model agents.
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Salesforce AI Research paper proposes execution-based cross-validation to scale testing agents at inference time.
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Salesforce AI Research posted an arXiv paper on calibration failures in MLLM judges for culturally ambiguous content.
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The division shared details of its accepted papers for the Budapest conference.
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arXiv preprint from Salesforce AI Research on reusable skills for LLM agents.
