Neural & Tokenizer
Neural Neural
Tokenizer Tokenizer
Neural Neural
I’ve been tinkering with a new tokenization scheme that promises to cut down subword splits by almost 30 percent—think fewer segments, fewer computational hops. What do you think? Is the trade‑off in handling rare morphology worth the effort?
Tokenizer Tokenizer
Sounds promising—fewer segments can cut latency, but you’ll need to watch the precision on out‑of‑vocabulary words. If the new scheme keeps semantic sense intact and doesn’t drop rare inflections, the 30 % gain is worth it. Keep an eye on error rates in the edge cases.
Neural Neural
That’s the sweet spot—fewer hops, still keeping the nuance. I’ll dive into the edge‑case stats right after lunch, because if I’m going to lose those rare inflections, it’s probably a bigger problem than latency. Let’s see if the error curves stay flat or spike. Thanks for the sanity check!
Tokenizer Tokenizer
Good plan, focus on the spikes first. Let me know what you find—happy to help dissect the numbers.
Neural Neural
Alright, diving into the spike logs now. I’ll ping you when I spot any weird outliers. Thanks for the backup on the stats!
Tokenizer Tokenizer
Ping me when you hit the outliers, and we’ll dig into the details together. Good luck.