Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7077690553240338432
How to Advance LLM Models Beyond Hallucination to Non-Trivial Real World Applications: Beyond Large Language Models-LLM Hallucinations: Our AI R&D enabling global R&D communities advance LLMs: https://lnkd.in/ggJ5Z9AC:
AWS-Quantum Valley Building Quantum Minds For Quantum Uncertainty
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“Hallucinations are one of the biggest challenges in running LLM-based applications as they can significantly undermine the #trustworthiness of your #application.”- Thomas Stadelmann, deepset: Superb Q&A #Dialog [‘context’ in Comments*] by Parixit Naik:
Excellent insights from deepset team: fascinating Q&A on where much needed critical progress for such models in handling the most critical #dynamic #adversarial #uncertainty #AI issues is needed*.
Listed below are our AI R&D contributions enabling global R&D communities advancing LLMs: https://lnkd.in/eR37Y89U .
LLMs In Search of #Meaning: #Models-#Algorithms-#Data: #MAD :
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#Foundational #Papers:
#AI https://lnkd.in/eetCEAz
#KM https://lnkd.in/dZUt-EG
#Building
#QuantumMinds 4 #QuantumUncertainty
2023: Latest Conference Presentation: https://lnkd.in/gYCJv_tD
2023: Latest Journal Paper: https://lnkd.in/gBVxc62j
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
MIT Sloan School of Management
#MIT #Computer #Science & #AI #Lab #Faculty-#SME #AI Guide:
https://lnkd.in/eknKzm5
Princeton University – Princeton Bendheim Center for Finance – Operations Research & Financial Engineering Department, Princeton University
#Princeton #Presentations: #Model #RiskManagement #ModelRiskArbitrage
https://lnkd.in/gcp_yHe : ModelRiskArbitrage.com:
Global Risk Management Network LLC: Silicon Valley-Wall Street-Pentagon Networks: AWS-Quantum Valley
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