Inference
In the context of , inference is the process of using a trained to make predictions or decisions on new, unseen data. Unlike the training phase, which involves and the updating of , inference is typically a where the input data is processed through the established architecture to produce an output. This stage is critical for the deployment of applications such as , , and . Efficiency during inference is often optimized through techniques like and , frequently leveraging specialized hardware from companies such as , , or with their clusters to minimize and computational cost.
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Ethics, safety & society
Moving as fast as the field, and easier to overlook
- Explainable AI
- Interpretability
- Model Card
- AI Audit
- Algorithmic Bias
- Disparate Impact
- Digital Divide
- WCAG (Web Content Accessibility Guidelines)
- AI Alignment
- Red Teaming
- EU AI Act
- NIST AI RMF (AI Risk Management Framework)
- Frontier Model
- Deepfake
- Content Credentials
- AI Watermarking
- Job Displacement
- Prompt Injection
- Data Poisoning
- Differential Privacy
- GDPR (General Data Protection Regulation)
- Zero-Day
- End-to-End Encryption
- Data Broker
Infrastructure, markets & the economy
The compute, power and capital behind the boom