A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy ...
In Korea, workers are being provided with virtual reality (VR)-based safety training content to mitigate the increase in occupational accidents. However, the current training evaluation methods suffer ...
The research identifies two primary models for this integration: the element model and the process model. The element model focuses on the five key aspects of evaluation: who, what, when, how, and why ...
Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...
Evaluation and assessment are often confused. As stated in Field Manual 7-0, Training, “only commanders assess unit training.” Commanders base their assessment on observed performance and other ...
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Encrypted training offers new path to safer language models
A research team from the University of Tokyo has outlined a new approach to training large language models that aims to curb sensitive data leakage while preserving performance, addressing one of the ...
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