Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...

Detailed in a recently published technical paper, the Chinese startup’s Engram concept offloads static knowledge (simple information lookups) from the LLM's primary memory to host memory (CPU RAM) in ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...

In a new paper, researchers from clinical stage artificial intelligence (AI)-driven drug discovery company Insilico Medicine ("Insilico"), in collaboration with NVIDIA, present a new large language ...

30-person startup Arcee AI has released a 400B model called Trinity, which it says is one of the biggest open source foundation models from a US company.

Large language models power everyday tools and reshape modern digital work.Beginner and advanced books together create a ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

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