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zserge.com
| | explainextended.com

A complete GPT2 implementation as a single SQL query in PostgreSQL.
1.7 parsecs

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| | jaykmody.com

Implementing a GPT model from scratch in NumPy.
0.7 parsecs

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| | peterbloem.nl

[AI summary] The text provides an in-depth overview of the Transformer architecture, its evolution, and its applications. It begins by introducing the Transformer as a foundational model for sequence modeling, highlighting its ability to handle long-range dependencies through self-attention mechanisms. The text then explores various extensions and improvements, such as the introduction of positional encodings, the development of models like Transformer-XL and Sparse Transformers to address the quadratic complexity of attention, and the use of techniques like gradient checkpointing and half-precision training to scale up model size. It also discusses the generality of the Transformer, its potential in multi-modal learning, and its future implications across d...
1.8 parsecs

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| | austingil.com

Good things to understand when building AI applications: artificial neural networks, LLMs, parameters, embeddings, GPTs, and hallucinations.
26.2 parsecs

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