Zephyr
@zephyr_z9
AI & Chips | Not Investment Advice | DYOD
가입 August 2023
724 팔로잉 중 148.4K 팬
"early access"
Scammy vibes
If it's really a sub-quadratic sparse attention arch (SSA), then serving this should be really cheap
No point in putting this behind early access
Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).
Only a small fraction actually matter.
@subquadratic finds and focuses only on the ones that do.
That's nearly 1,000x less compute and a new way for LLMs to scale.
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