Towards increased truthfulness in LLM applications | by Marlon Hamm | Mar, 2024
Utility-oriented strategies from present analysisThis text explores strategies to reinforce the truthfulness of Retrieval Augmented Era ...
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Deciphering Truth from Data: How Large Language Models Use Personas to Model Truthfulness
With the introduction of Giant Language Fashions (LLMs), the sub-field of Synthetic Intelligence, i.e., Pure Language ...
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Researchers from Harvard Introduce Inference-Time Intervention (ITI): An AI Technique that Improves the Truthfulness of Language Models from 32.5% to 65.1%
The event of Massive Language Fashions (LLMs) is likely one of the most progressive developments within ...
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Balancing Trust, Transparency, And Truthfulness In Government
In an period marked by speedy technological developments, authorities companies face important selections on the subject ...
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