AI Learning Platform

What is AI, Actually?context
Types of Learningcontext
Data Fundamentalsengineering
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What Are LLMs?daily use
Base vs Instruction vs Chatdaily use
Tokenization and Embeddingsdaily use
From Tokens to Predictionstheory
How LLMs Pick the Next Worddaily use
Context Windows and Memorydaily use
Quantizationdaily use
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RAG: What and Whybuild
Building a RAG Pipelinebuild
Vector Databasesbuild
Retrieval Strategiesbuild
RAG Evaluationbuild
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Pretraining vs Fine-tuningbuild
PEFT Overviewbuild
LoRAbuild
Other PEFT Methodsbuild
PEFT Trade-offsbuild
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How Models Actually Traintheory

Probability and Statisticstheory
Optimization Basicstheory
Neurons and Perceptronstheory
Feedforward and Backpropagationtheory
Activation Functionstheory
Dropout and Batch Normalizationtheory
Hands-on: Train Your First NNbuild
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The Math You Actually Needtheory

Linear Algebra and Calculustheory
CNNs and RNNstheory
From Sequences to Attentiontheory
Attention and K/Q/Vtheory
The Transformer Architecturetheory
Landmark Modelscontext
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Why Classical ML Still Matterscontext

Linear and Logistic Regressionengineering
Bias, Variance, and Overfittingengineering
Evaluation Metricsengineering
Feature Engineeringengineering
Decision Trees and Random Forestsengineering
SVM, K-Means, and KNNengineering
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Cross-Validation and Tuningengineering
The ML Pipelineengineering
GPUs and Parallelizationengineering
Model Serving and Inferenceengineering
vLLM Overviewengineering
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Capstone Projectbuild
Hands-on Workflowbuild
What's Nextcontext

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AI Learning Platform by Adroit Engineering