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Synaptic Labs Blog
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Research
HALO: An Ontology for Representing Hallucinations in Generative Models
Education
Machine Learning
Research
Reinforcement learning
Distributional RL
From Principles to Practice: An Accountability Metrics Catalogue for Managing AI Risks
Education
Machine Learning
Research
Reinforcement learning
Inverse RL
Education
Machine Learning
Research
Reinforcement learning
Model-Based RL
EALM: Introducing Multidimensional Ethical Alignment in Conversational Information Retrieval
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![[Illustration] of an [abstract digital brain] [processing and categorizing] different types of hallucinations in a [virtual environment] during [any time of day], with [colorful neural networks, distinct sections representing different hallucination categories, metadata floating around], creating a [complex, insightful] mood. Art style: [Digital Abstract]. Art inspirations: [Neural network visualizations, abstract art]. Captured with a [High-Resolution Digital Rendering] using a [3D modeling software], with [dynamic lighting, immersive effects]. Render Info: [4K Resolution, High-Detail, Digitally Rendered].](https://6389588.fs1.hubspotusercontent-na1.net/hubfs/6389588/Leonardo_Diffusion_XL_AI_Hallucination_Conceptualization_Illus_1.jpg)
