Morning Overview on MSN

LLMs have tons of parameters, but what is a parameter?

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
InfoQ

Meta AI’s Large Language Model with 10x Fewer Parameters

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
TechCrunch

Meta expects recommendation models ‘orders of magnitude’ bigger than GPT-4. Why?

Meta made a remarkable claim in an announcement published today intended to give more clarity on its content recommendation algorithms. It’s preparing for behavior analysis systems “orders of ...
Hosted on MSN

New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
Geeky Gadgets

Integrating AI large language models LLMs with Knowledge Graphs

LLMs are advanced AI systems that have the ability to understand and generate human-like text. They work by predicting what word comes next in a sentence, learning from vast amounts of data. Knowledge ...