Advertisement
pszemraj

LED-booksum summary of vid2cleantxt

Aug 16th, 2022 (edited)
127
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 4.03 KB | None | 0 0
  1. LED-L (nb=4), note demo truncates input to 768 words
  2.  
  3. Section 0: Waking up the next morning, Dylan leads the girls in a discussion of some of the things they've been working on during the last week. The first topic is about the "wolf" project and how to reduce the amount of controls you have to perform an initial risk assessment. Next, Dylan talks about two other subjects that are more general but related to the wolf project: electricity and the cloud. While there are many different opinions about how to do electricity in the cloud, there is one rule: connections between cloud and on-premise needs to be established. And finally, any development that does not directly lead to a death
  4. Section 1: Next, Mr. Boozell explains how they're going to continue their assessment using the cheese question as a reference point to identify which controls are redundant and which are not. They also explain to the Singapore intelligence community why the Cheese question is so important - it helps them see things in a different perspective than they previously thought. Mr. Barlow adds that this will come in an evolved project, once they find a tool that can do what they're currently doing with the anti-vault system. He also says that cloud computing still needs to be invented - right now there isn't a single, final, finite solution ...
  5.  
  6. (cuts short because input truncated to 768 words)
  7.  
  8. ---
  9.  
  10. LED-Base model, note demo truncates input to 2048 words (keep more words because demo compute is less for base model)
  11.  
  12. Section 0: In the wolf project, the company has been working on a reduction in the number of controls required to manage risk. Nation reports that they have reduced their target by sixteen hundred controls but are still working on how they will achieve this goal. They also want to reduce the amount of information that they ask for from the third-party control vendors so that they can use it more effectively and with less effort. In the commercial side of the business, there is still no final solution in place for putting cloud assets directly into the inventory. However, an asset manager named St. Julien de la Pasquale tells us that he plans to keep his store in Saint Julien's marina.
  13. Section 1: ajita A maria is the first to be added to pas as a service in the future. She explains how new assets are registered under pas, which means that they will no longer need to register as an asset but will instead have coverage for both introspect and as a cloud service provider. She also talks about one of the most recent "advisals" : a restaurant that has been recently acquired by a major city prod. The restaurant plans to become part of a larger, higher-end company called Tic-tac-o-lacs. In other words, it won't just be a restaurant; it'll be a hospital.
  14. Section 2: The gap between how the new car is implemented and how it is used is huge, i.e. there's no way to get past cars in the inventory without having to update the in-inventory or use a scan to put the date of the current car on the screen. The gap is so big that scion isn't even remotely missing the point about how they're going to manage the data when they launch a new asset. There's just no way for them to keep track of what's been going on while they're onboard because there are no "pass" options out there. Scion points to this as one of the reasons why he hasn't yet implemented a "sold" plan. He also points to the fact that there aren't any "adopted" assets anymore since there's only one defined pass type. That being said, there will always be some sort of missive from scion saying that they don't intend to implement a sold plan but instead will simply say that they've already implemented a'sold' plan. This is where all the real estate companies have gone wrong. They didn't invent a pass type, they just wrote a bunch of fancy stuff that was supposed to be there. So now we're back to scion speculating
  15.  
  16.  
  17. note demo truncates input to 2048 words (keep more words because demo compute is less for base model)
  18.  
  19.  
  20. ---
  21.  
  22. demo can be found here: https://huggingface.co/spaces/pszemraj/summarize-long-text
  23.  
  24.  
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement