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Active 2 months ago
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I spotted a targeted ad on a machine learning subreddit last week that talked about AI data collection bottlenecks. The ad mentioned the sheer volume of diverse, up-to-date data required to build conversational models, which immediately caught my attention since I am trying to train a personal translator at home. I decided to click here and read the full breakdown, and I am very satisfied with what I learned. It addresses the two-fold issue of LLM training head-on. It showed me exactly how to maintain a continuous scraping pipeline to gather fresh data from USA websites without getting blocked.