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AI Exam 5 - AI Aspects

AI Practitioner Exam Prep Aspects of AI Cost Considerations   Cost factors are responsiveness and availability, redundancy and regional coverage, performance, token-based pricing, provisioned throughput, and refining your custom models. Responsible AI Aspects: controllability, explainability, fairness, governance, interpretability\transparency, privacy\security (theft and exposure risk), safety, and veracity\robustness.   Business Benefits: trust, regulatory complain, mitigate risks, competitive advantage, improved decision making, and improved products.    Model Selection: a)  Narrow the use case so you can tune your model to your use case.  Ex: favor recall or precision , b) pick by performance with some test data sets,  c) responsible agency, d) environmental reasons, e) economical reasons.   Dataset Prep: want  balanced dataset  so  inclusive and diverse  in data collection, curating by 1) preprocessing, 2) augmentat...
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AI Exam 4 - Products

AI Practitioner Exam Prep AWS Products Amazon Product Abbreviations in AI KMS  =  Amazon   Key Mgmt Service  product Developer Products (in ML frameworks layer) SageMaker   AI =  IDE  plugin that  builds repeatable ML with "no code"  and Amazon fully provides the  infrastructure. Think "makes sages out of data scientists".   Full ML lifecycle from data prep to production endpoints.    ML workflow mgmt that offers auto training, tuning, and deployment of ML and solves data prep and model training tasks .  Uses are:  predictive analytics, image recognition, voice AI with NLP, fraud detection, recommendation systems, and time-series forecasting.  Security via IAM. Does its own logging. CloudWatch can monitor metrics and set alarms. Integrates with  S3 for storing  data (via VPC) , Lambda for processing events, API Gateway for exposing models as APIs.   ...
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AI Exam 3 - Abbrev and Terms

AI Practitioner Exam Prep Abbrev. and Terms Abbreviations in AI ART prompting = Automatic Reasoning and Tool-use A TLAS  =  Adversarial Threat Landscape for AI  Systems AUC-ROC metric  =  Area Under the Curve-Receiver Operating Characteristic Curve BERT score metric  =  Bidirectional Encoder Representations from Transformers BLEU   metric   =  Bilingual Evaluation Understudy CNN  = C onvolutional Neural Networks CoT   prompting  =  Chain-Of-Thought GANs  =  G enerative Adversarial Networks GLUE benchmark  =  General Language Understanding Evaluation GPT  =  Generative Pre-trained Transformers FM  =  Foundational Models IDP  =  Intelligent Data Processing LLM  =  Large Language Models METEOR metric = Metric for Evaluation of Translation with Explicit ORdering NL or NLP  =  Natural Language Processing NTM   = Neural Topic Modeling   algor...
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AI Exam 2 - Layers

AI Practitioner Exam Prep Layers Overall AI Abbreviations AI   =   Artificial Intelligence DL  =  Deep Learning GenAI  =  Generative AI ML  =  Machine Learning Mathematical Subsets/ Layers  of AI Five Concentric Circles of: AI = broadest field (with rule engines). computers appear they are doing human behavior or reasoning.   ML = computer learns from data without programming     Neural Nets = technical family of learned models       DL = models that generate content inspired by human brain         Gen AI = large, pretrained, multi-purpose base model AI     AI  = broad field (includes rule engines) where computers mimic human behavior or reasoning. ML     ML or Traditional ML  =   computer learns from data without programming.  each model can perform only one task. To succeed, the model must be carefully trained on the data.     ML model  ...
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