[Verse 1] Three learning types you need to know Supervised learns from labeled data's flow Input output pairs will guide the way Like teaching children what to say Unsupervised finds hidden patterns deep No labels here just clusters to keep Reinforcement learns through trial and reward Like gaming where high scores are stored [Chorus] AI fundamentals, learn them well Neural networks with stories to tell Training models, test and validate Precision recall, don't hesitate From features to transformers bright Machine learning done right [Verse 2] Neural networks come in different shapes CNNs for images and visual escapes RNNs remember sequences long LSTM keeps the memory strong Transformers changed the game complete With attention making models neat Each architecture has its place Solving problems at their own pace [Chorus] AI fundamentals, learn them well Neural networks with stories to tell Training models, test and validate Precision recall, don't hesitate From features to transformers bright Machine learning done right [Verse 3] Training means learning from mistakes Loss functions show what improvement takes Gradient descent finds the optimal way But overfitting can lead you astray Split your data three ways clean Training validation and test scene Regularization keeps models lean Best performance you've ever seen [Bridge] Foundation models like GPT and Claude Prompt engineering makes them proud RAG retrieves then generates text Vector databases know what comes next Fine-tune or prompt or retrieve the best Each approach will pass the test [Verse 4] In production MLOps takes the stage Version models track every page Quantize and cache for speed so bright GPU selection gets inference right Cost management keeps budgets sane Guardrails prevent the model's pain Evaluation frameworks test it all Human feedback stands ten feet tall [Chorus] AI fundamentals, learn them well Neural networks with stories to tell Training models, test and validate Precision recall, don't hesitate From features to transformers bright Machine learning done right [Outro] CTOs need this knowledge base AI/ML sets the pace From supervised to agents smart Master each essential part
← 4 Incident Response & Business Continuity | 2 AI Strategy & Governance →