Anecdotally, this was my experience as a student when I tried to use AI to summarize and outline textbook content. The result says almost always incomplete such that I’d have to have already read the chapter to include what the model missed.
I’m not sure how long ago that was, but LLM context sizes have grown exponentially in the past year, from 4k tokens to over a hundred k. That doesn’t necessarily affect the quality of the output, although you can’t expect it to summarize what it can’t hold on memory.
You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: [email protected]
This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.
Ask in DM before posting product reviews or ads. All such posts otherwise are subject to removal.
Rules:
1: All Lemmy rules apply
2: Do not post low effort posts
3: NEVER post naziped*gore stuff
4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.
5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)
6: no advertisement posts unless verified as legitimate and non-exploitative/non-consumerist
7: crypto related posts, unless essential, are disallowed
Anecdotally, this was my experience as a student when I tried to use AI to summarize and outline textbook content. The result says almost always incomplete such that I’d have to have already read the chapter to include what the model missed.
I’m not sure how long ago that was, but LLM context sizes have grown exponentially in the past year, from 4k tokens to over a hundred k. That doesn’t necessarily affect the quality of the output, although you can’t expect it to summarize what it can’t hold on memory.