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Zero to Agentic Series' Articles

Back to Priyesh Dave's Series
Day 29: Positional Encoding

Day 29: Positional Encoding

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5 min read
Day 30: The Transformer Encoder Architecture

Day 30: The Transformer Encoder Architecture

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6 min read
Day 31: The Transformer Decoder Architecture

Day 31: The Transformer Decoder Architecture

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5 min read
Day 32: Layer Normalization and Residual Connections

Day 32: Layer Normalization and Residual Connections

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5 min read
Day 33: Building a Mini Transformer From Scratch (Code Walkthrough)

Day 33: Building a Mini Transformer From Scratch (Code Walkthrough)

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5 min read
Day 34: What Is Pretraining? Transfer Learning for NLP

Day 34: What Is Pretraining? Transfer Learning for NLP

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4 min read
Day 35: BERT: Architecture and Masked Language Modeling

Day 35: BERT: Architecture and Masked Language Modeling

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5 min read
Day 36: Fine-Tuning BERT for Downstream Tasks

Day 36: Fine-Tuning BERT for Downstream Tasks

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5 min read
Day 37: GPT Architecture: Decoder-Only Transformers

Day 37: GPT Architecture: Decoder-Only Transformers

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5 min read
Day 38: GPT-1 to GPT-3: The Evolution of Scale

Day 38: GPT-1 to GPT-3: The Evolution of Scale

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5 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
Day 39: T5 and the Text-to-Text Framework

Day 39: T5 and the Text-to-Text Framework

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5 min read
Day 40: Tokenization Deep Dive: BPE, WordPiece, SentencePiece

Day 40: Tokenization Deep Dive: BPE, WordPiece, SentencePiece

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5 min read
Day 42: What Makes a Model "Large"? Defining LLMs

Day 42: What Makes a Model "Large"? Defining LLMs

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5 min read
Day 43: In-Context Learning Explained

Day 43: In-Context Learning Explained

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4 min read
Day 44: Zero-Shot, One-Shot, and Few-Shot Learning

Day 44: Zero-Shot, One-Shot, and Few-Shot Learning

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6 min read
Day 38: GPT-1 to GPT-3: The Evolution of Scale

Day 38: GPT-1 to GPT-3: The Evolution of Scale

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5 min read
Day 45: Emergent Abilities in LLMs

Day 45: Emergent Abilities in LLMs

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5 min read
Day 46: RLHF: Reinforcement Learning from Human Feedback

Day 46: RLHF: Reinforcement Learning from Human Feedback

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5 min read
Day 47: Instruction Tuning Explained

Day 47: Instruction Tuning Explained

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6 min read