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Module Overview

Learning Guides

4.1.1 Efficient Models

AIE 4.1.1.1 Mixture of Experts

AIE 4.1.1.2 4-bit Quantized Inference

4.1.2 Hardware-Aware Training

AIE 4.1.2.1 TPU-GPU memory optimization

AIE 4.1.2.2 Flash Attention-3 for Long Context LLMS

4.2.1 Compression Techniques

AIE 4.2.1.1 Pruning & Lottery Ticket Hypothesis

AIE 4.2.1.2 - Distillation Covering LLMS

4.2.2 Edge Deployment

AIE 4.2.2.1 ONNEX Format Conversion

AIE 4.2.2.2 CoreML for IOS and Android Integration

Recap Video

Module 4 Recap Video

Activities

Applied Activities

Reflection Prompts

Quiz

Quiz AiE 4.1

Quiz AiE 4.2

Quiz AiE 4.3

Quiz AiE 4.4

Quiz AiE 4.5

Quiz AiE 4.6

Quiz AiE 4.7

Quiz AiE 4.8

Module 4: Neural Architectures & Optimization

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