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Does customizing a FM with more training data increase latency of inference?
No, you’re adjusting weights, not making the model substantically slower
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Can you use F1 to score text-generation model?
No: F1 evals binary outputs (false-positives, recall, precision, …). It doesn’t deal with geneated text.
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Amazon SageMaker Autopilot?
Automates the process of building machine learning models, not involved with monitoring or operating them
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Diff between kNN and K-Means?
k-NN is algorithm for classifying new data. K-means is unsupervised, used to cluster data
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Sampling Bias?
Training data doesn’t represent the entire population
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Is reporting bias a problem of sampling data?
Not really, it’s about overrepresentation in training data leading to same things being reported from this group
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Automation bias?
Tendency of people to over-rely on automated systems and trust their decisions
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Implicit bias?
Unconscious attitudes or stereotypes that affect human decision-making
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Model Fairness?
Answers are unbiased
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Model explainability?
Can explain how the model made decisions
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Model transparency?
All stakeholders understand the training data, model development, etc.
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HealthScribe?
Transcribing and summarizing patient-clinician conversations
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Comprehend Medical?
Extracts health data from unstructured clinical text
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If you see a question about foundation models, is SageMaker the answer?
No :-)
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Self-refine prompting?
A model iteratively solves a problem, critiques its own solution, and then revises the solution based on the critique
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PartyRock?
No-code generative AI app-building playground powered by Amazon Bedrock
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What is AWS Audit Manager?
Service designed to simplify compliance audits in cloud environments
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What does AWS Audit Manager do?
Continuously collects evidence from AWS resources and maps configurations to industry standards and regulatory frameworks such as HIPAA, SOC 2, PCI
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What is Data Exchange?
Subscribe to data providers, get notified when new datasets released
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Tailor LLM responses to match company’s tone and style?
Prompt engineering (just this simple)
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Random Cut Forest (RCF)?
Anomaly detection, which aims to identify rare or unusual data points in a dataset
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k-NN or K-means if you have unlabeled data?
K-means: kNN needs labels, K-means just keep comparing distances
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What is Principal Component Analysis (PCA) used for?
Dimension reduction
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What provides pre-built solutions and foundation models to accelerate AI and machine learning projects?
SageMaker JumpStart