How Microsoft’s next-gen BitNet architecture is turbocharging LLM efficiency

Q: How long will it take to read this news story?

The story "How Microsoft’s next-gen BitNet architecture is turbocharging LLM efficiency" has 910 words across 40 sentences, which will take approximately 4 - 8 minutes for the average person to read.

Q: Which news outlet covered this story?

The story "How Microsoft’s next-gen BitNet architecture is turbocharging LLM efficiency" was covered 1 weeks ago by VentureBeat, a news publisher based in United States.

Q: How trustworthy is 'VentureBeat' news outlet?

VentureBeat is a fully independent (privately-owned) news outlet established in 2005 that covers mostly startups and technology news. The outlet is headquartered in United States and publishes an average of 7 news stories per day. It's most recent story was published 11 hours ago.

Q: What do people currently think of this news story?

The sentiment for this story is currently Negative, indicating that people regard this as "bad news".

Q: How do I report this news for inaccuracy?

You can report an inaccurate news publication to us via our contact page. Please also include the news #ID number and the URL to this story.<ul><li>News ID: #23578147</li><li>URL: https://beamstart.com/news/how-microsofts-next-gen-bitnet-17315504859905</li></ul>

VentureBeat 1w ago

How Microsoft’s next-gen BitNet architecture is turbocharging LLM efficiency - VentureBeat

Quick Summary:

Compared to full-precision Llama models, BitNet a4.8 reduces memory usage by a factor of 10 and achieves 4x speedup.Compared to BitNet b1.58, it achieves a 2x speedup through 4-bit activation kernels.

But the design can deliver much more.“The estimated computation improvement is based on the existing hardware (GPU),” Wei said.“With hardware specifically optimized for 1-bit LLMs, the computation improvements can be significantly enhanced.

Previous BitNet models used 1.58-bit values (-1, 0, 1) to represent model weights and 8-bit values for activations.