NEWSLETTER
KV-Runahead: Scalable Causal LLM Inference Using Parallel Key-Value Cache Generation
The large language model or LLM inference has two phases, the request (or preload) phase to generate the first token ...
Tag: Cache
KIVI – A Plug-and-Play 2-bit KV Cache Quantization Algorithm without the need for any tuning
Large language models (LLMs) are incredibly useful for tasks like generating text or answering questions. However, they face a big ...
This Microsoft machine learning paper proposes ChunkAttention: a novel self-attention module to efficiently manage the KV cache and accelerate the self-attention kernel for LLM inference
The development of large language models (LLM) in artificial intelligence represents an important advance. These models underpin many of today's ...
This AI article introduces the cached transformer: a transformer model with GRC (closed recurrent cache) attention for enhanced language and vision tasks.
Transformer models are crucial in machine learning for language and vision processing tasks. Transformers, recognized for their effectiveness in handling ...
FTX’s $5.5 Billion In Alleged ‘Liquid Assets’ Include Locked SOL Cache And Illiquid FTT Holdings – Bitcoin News
Two days ago, FTX's bankruptcy administrators and debtors released an update for unsecured creditors claiming the discovery of $5.5 billion ...
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