# I am the Watcher. I am your guide through this vast new twtiverse.
#
# Usage:
# https://watcher.sour.is/api/plain/users View list of users and latest twt date.
# https://watcher.sour.is/api/plain/twt View all twts.
# https://watcher.sour.is/api/plain/mentions?uri=:uri View all mentions for uri.
# https://watcher.sour.is/api/plain/conv/:hash View all twts for a conversation subject.
#
# Options:
# uri Filter to show a specific users twts.
# offset Start index for quey.
# limit Count of items to return (going back in time).
#
# twt range = 1 1
# self = https://watcher.sour.is/conv/foq3ina
Ask HN: Good small LLM for text correction?**
I’ve been playing with local models for handling text correction, aka grammar and spelling in multilingual text.
Most models with less than 20b parameters struggle to do that, even instruct models.
For example, they tend to answer questions from the text instead of correcting the mistakes. Strict prompting not to do so only partially helps. They always tend to add or remove sentences of there own.
Are there any good small models for text correction or is that just not a task L ... ⌘ Read more