Fast Compute of RAG Prefill
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance
arXiv:2606.09441v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) injects LLM queries with relevant documents to improve response quality. This injection increases prompt length and slows time to first token (TTFT). Unlike standard queries, RAG queries have a unique property of context reuse where the same documents recur across user queries.
Bringing Up DeepSeek-V4-Flash on AMD MI300X
Bringing up DeepSeek-V4-Flash on AMD MI300X At Doubleword we are building an inference cloud designed for volume. To do that we have to reckon with the enveloping compute shortage. AMD’s MI300X launched in December 2023At AMD’s “Advancing AI” event, 6 December 2023.