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reacted to codelion's post with 👍 10 days ago
Reverse Engineering a $500M Mystery: From HashHop to Memory-Augmented Language Models I wrote a deep dive into how Magic AI's 100M token context window might work, starting from their HashHop benchmark and building up to MALM - a Memory-Augmented Language Model. Key insight: treating each key as a single token enables perfect retrieval at unlimited context lengths. The article covers: - How HashHop works and why its perfect accuracy is suspicious - Building a tokenized solver that achieves 100% accuracy - Scaling to MALM for real code search tasks - Why this approach could handle 100M+ tokens Read the full article: https://huggingface.co/blog/codelion/reverse-engineering-magic-hashhop Try the model: https://huggingface.co/codelion/malm-165m Code: https://github.com/codelion/hash-hop
reacted to codelion's post with 🚀 10 days ago
Reverse Engineering a $500M Mystery: From HashHop to Memory-Augmented Language Models I wrote a deep dive into how Magic AI's 100M token context window might work, starting from their HashHop benchmark and building up to MALM - a Memory-Augmented Language Model. Key insight: treating each key as a single token enables perfect retrieval at unlimited context lengths. The article covers: - How HashHop works and why its perfect accuracy is suspicious - Building a tokenized solver that achieves 100% accuracy - Scaling to MALM for real code search tasks - Why this approach could handle 100M+ tokens Read the full article: https://huggingface.co/blog/codelion/reverse-engineering-magic-hashhop Try the model: https://huggingface.co/codelion/malm-165m Code: https://github.com/codelion/hash-hop
reacted to codelion's post with ❤️ 10 days ago
Reverse Engineering a $500M Mystery: From HashHop to Memory-Augmented Language Models I wrote a deep dive into how Magic AI's 100M token context window might work, starting from their HashHop benchmark and building up to MALM - a Memory-Augmented Language Model. Key insight: treating each key as a single token enables perfect retrieval at unlimited context lengths. The article covers: - How HashHop works and why its perfect accuracy is suspicious - Building a tokenized solver that achieves 100% accuracy - Scaling to MALM for real code search tasks - Why this approach could handle 100M+ tokens Read the full article: https://huggingface.co/blog/codelion/reverse-engineering-magic-hashhop Try the model: https://huggingface.co/codelion/malm-165m Code: https://github.com/codelion/hash-hop
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