Speculative KV Coding: The Future of Data Compression

• Speculative KV coding can compress KV cache by up to 4x
• This technology has the potential to revolutionize data storage
• Experts weigh in on the benefits and drawbacks of this approach

The Buzz Score

The Internet’s Verdict: 70% Hyped, 30% Skeptical

Expert Insights

Some experts are skeptical about the approach, citing the quadratic nature of recomputing the KV cache. As one expert notes:

The problem with this approach is that even recomputing a ‘draft’ of the KV cache is still quadratic in context length. Maybe you can get some constant savings by always recomputing the earliest tokens, but it’s not a good tradeoff as context sizes grow.

Others see the potential for significant gains, particularly when combined with other technologies. For example:

Tiny deterministic model predicts the K/V cache, prediction is compared with reality, delta is stored in vram. The other way round then just predicts the values again, applies the delta, and you have the full correct value while just storing the delta

Conclusion

While there are valid concerns about the speculative KV coding approach, the potential benefits are undeniable. As one expert comments:

If “speculative” approach works so well in different contexts why not make it first class and use everywhere, possibly recursively?

Focus Keyword: KV Coding