Quiz 2

BSDA5004

14 Internal Entities Declared
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165 - Transformer Architecture — Complete Introduction
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166 - Self-Attention and QKV Computation
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167 - Multi-Head Attention Deep Dive
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168 - Positional Encoding — Sinusoidal and Learned Embeddings
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169 - Decoder Layer, Cross-Attention, and Teacher Forcing
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170 - Layer Normalization & Residual Connections in Transformers
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171 - Pre-training Objectives- Causal LM, Masked LM, and Beyond
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172 - GPT Architecture- Decoder-Only Transformer & Autoregressive Generation
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173 - BERT Architecture- Encoder-Only & Bidirectional Context
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174 - Tokenization- BPE, WordPiece, SentencePiece
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175 - Fine-tuning Methods- LoRA, Adapters, and PEFT
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176 - Prompt Engineering- In-Context Learning, Chain-of-Thought
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177 - RLHF, Alignment, and Constitutional AI
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178 - Quantization, Pruning, Distillation & Fast Attention
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