Writing a Decoder-Only Transformer for LLM from Scratch in Python

The author of a series of articles describes in detail the implementation of a transformer block for a small decoder-only LLM using the PyTorch framework. Components covered include: Multi-Head Attention with masking, Feed Forward Network with GELU, normalization layer, and residual connections. The article explains the difference from the original architecture: pre-normalization (Pre-LN) is used instead of post-normalization for training stability.

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Anthropic criticized for refusing open models — only major AI lab without them

Anthropic remains the only major AI lab that does not release open models, drawing criticism from the community. Unlike OpenAI, Meta, Google, and others, the company adheres to a strict closed policy, citing safety risks.

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