# Machine Learning (MoC)
## Overview
Notes about machine learning.
## Notes
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- [[AI Attention]]
- [[AI Model Calibration]]
- [[AI Post-Training]]
- [[Andrew Ng]]
- [[Apple Core ML]]
- [[Apple Intelligence]]
- [[Apple Neural Engine]]
- [[Artificial Intelligence (AI)]]
- [[Browser-Provided Language Models]]
- [[Conformal Prediction]]
- [[Constrained Decoding]]
- [[Deep Learning]]
- [[Edge AI]]
- [[Embeddings]]
- [[FAISS]]
- [[Fei-Fei Li]]
- [[Gemini Nano]]
- [[Generative AI (Gen AI)]]
- [[Human-in-the-Loop]]
- [[LLM Streaming]]
- [[LLM Structured Outputs]]
- [[LLM Tool Calling]]
- [[LLM-Generated Features for Classical ML]]
- [[Machine Learning (ML)]]
- [[ML Deployment Patterns]]
- [[ML Reproducibility]]
- [[MLflow]]
- [[MLOps]]
- [[Mode Collapse]]
- [[Model Registry]]
- [[Natural Language Processing (NLP)]]
- [[Neural Processing Unit (NPU)]]
- [[On-Device Machine Learning]]
- [[ONNX]]
- [[ONNX Runtime Web]]
- [[Priya Donti]]
- [[Prompt API]]
- [[Proper Scoring Rules]]
- [[Regina Barzilay]]
- [[Rohit Prasad]]
- [[SentenceTransformers]]
- [[Shadow Evaluation]]
- [[TabFM]]
- [[Time to First Token (TTFT)]]
- [[Transformers.js]]
- [[TurboQuant]]
- [[W3C Web Machine Learning Working Group]]
- [[WebGPU]]
- [[WebMachineLearning]]
- [[WebNN API]]
- [[Windows Copilot Runtime]]
- [[Writing Assistance APIs]]
- [[Zero-Shot Classification]]
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## Quotes
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- [[The meaning of life is following locally, wherever the gradient descent takes you]]
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