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LongLLaMA-handle very long text contexts, up to 256,000 tokens vs ShieldLabs
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LongLLaMA-handle very long text contexts, up to 256,000 tokens
LongLLaMA is a large language model designed to handle very long text contexts, up to 256,000 tokens. It's based on OpenLLaMA and uses a technique called Focused Transformer (FoT) for training. The repository provides a smaller 3B version of LongLLaMA for free use. It can also be used as a replacement for LLaMA models with shorter contexts.
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ShieldLabs
ShieldLabs identifies anonymous visitors and detects fraud and abuse using persistent visitor identification, 100+ device and network signals, explainable risk scores, and ready-made patterns.
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LongLLaMA-handle very long text contexts, up to 256,000 tokens vs AI Breasts Larger
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