Effective Strategies for Asset Allocation in Your Portfolio

Discover effective strategies to optimize the asset mix in your investment portfolio, focusing on achieving balance and ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
GitHub

The highest-scoring AI memory system ever benchmarked. And it's free.

Every conversation you have with an AI — every decision, every debugging session, every architecture debate — disappears when ...
TechCrunch

Memories AI is building the visual memory layer for wearables and robotics

Shawn Shen believes that AI will need to remember what it sees in order to succeed in the physical world. Shen’s company Memories.ai is using Nvidia AI tools to build the infrastructure for wearables ...
IEEE

A Reinforcement Learning-based Approach to in-Pool Memory Allocation for Distributed Heterogeneous Memory Pools

Abstract: The conventional memory allocation method in distributed heterogeneous memory pool mainly uses the Spark Shuffle skew tuning execution algorithm to calculate the allocation parameters, which ...
IEEE

Bauhaus: Restructuring Vector Database for LLM Retrieval on CXL-Based Tiered Memory

Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...