[D] TurboQuant author replies on OpenReview

<p>Building a production-ready, fault-tolerant Retrieval-Augmented Generation system is an exercise in managing harsh tradeoffs. You want massive context, lightning-fast hybrid

<!-- SC_OFF --><div class="md"><p>Just as the title says, I believe the decision to extend the deadline for reviewers to post their final justifications while not allowing authors

<!-- SC_OFF --><div class="md"><p>Spent ~2 days implementing this paper: <em>TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate</em></p> <p>Repo: <a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s5cggh/google_turboquant_blew_up_for_kv_cache_heres/"> <img alt="Google TurboQuant blew up for KV cache.