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GenAI Series
Post-Training 101: From Base Model to Assistant
genAI Fundamentals Part 5: instruction tuning (SFT), RLHF vs DPO, and the RLVR/GRPO reasoning era — how a base model learns to follow instructions and…
Jul 7
8
2
Pretraining 101: Data, Scale, and the Loss Function
GenAI Fundamentals Series Part 4: How a pile of random weights becomes a base model. Next-token cross-entropy, trillion-token data pipelines, and…
Jun 26
7
1
What is an LLM? Tokens, Embeddings, and the Big Picture
GenAI Fundamentals Series Part 3: From raw text to next-token prediction. The complete mental model
Jun 14
11
3
The Transformer, Demystified — Let's Actually Build One
GenAI Series Part 2: Implementing a Transformer
Jun 5
8
2
1
Understanding Transformers, the MLE Way
GenAI Series Part 1: What even are transformers?
May 29
13
4
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