![](/static/253f0d9b/assets/icons/icon-96x96.png)
![](https://lemmy.world/pictrs/image/db7182d9-181a-45e1-b0aa-6768f144911a.jpeg)
I find it quite common (and confusing) for certain news types like policy, eg “party A reverses the disapproval to oppose the once-unacceptable ban”
I find it quite common (and confusing) for certain news types like policy, eg “party A reverses the disapproval to oppose the once-unacceptable ban”
cuts parts
that’s actually what the underlying method does, as this is extractive summary, hence it mostly cuts and stitches things.
From my naive understanding, this type of method does not use or “understand” context.
The alternative is abstractive summary, which is where LLMs (or even small/medium language models) are good for. But I suspect that would be a controversial choice on lemmy.
hm, I think I’ve been doing it wrong then …
someone should make an alternate history tv show where the ship made it. bonus if it’s of a parody kind.
If you suspect that it’s been modified, try going to places like the internet archive or archivetoday to check. The claims you’ve made seem big, so back them up with sources.
Speaking of Lost, its parody show called Wrecked ended too soon.
forgive my naivety, how does such a community avoid promoting ageism?
what are the other alternatives to ENV that are more preferred in terms of security?
These are most, if not all, positive. I’d be curious if you can somehow make it list a mixture of positive and non-positive things before 2021 and then see where it goes from there.
yeah I guess maybe the formatting and the verbosity seems a bit annoying? Wonder what the alternatives solution could be to better engage people from mastodon, which is what this bot is trying to address.
edit: just to be clear, I’m not affiliated with the bot or its creator. This is just my observation from multiple posts I see this bot comments on.
I’m curious, why is this bot currently being downvoted for almost every comment it makes?
maybe port over some of your previous videos to grow content on peertube as well if it’s possible. not sure if there’s any legal issue with this tho.
Thanks for the suggestions! I’m actually also looking into llamaindex for more conceptual comparison, though didn’t get to building an app yet.
Any general suggestions for locally hosted LLM with llamaindex by the way? I’m also running into some issues with hallucination. I’m using Ollama with llama2-13b and bge-large-en-v1.5 embedding model.
Anyway, aside from conceptual comparison, I’m also looking for more literal comparison, AFAIK, the choice of embedding model will affect how the similarity will be defined. Most of the current LLM embedding models are usually abstract and the similarity will be conceptual, like “I have 3 large dogs” and “There are three canine that I own” will probably be very similar. Do you know which choice of embedding model I should choose to have it more literal comparison?
That aside, like you indicated, there are some issues. One of it involves length. I hope to find something that can build up to find similar paragraphs iteratively from similar sentences. I can take a stab at coding it up but was just wondering if there are some similar frameworks out there already that I can model after.
I don’t get what the obsession with big phones is. Is it that most people really want big phones or that companies can charge more for them?
deleted by creator
deleted by creator
deleted by creator
got into coding cuz I found out that’s how I can automate analysis and play with research questions more easily.
this is an interesting story but for those who prefer to read, here the article linked in the video description:
https://thefourth.media/apartments/
I also ran this through smmry to summarize. Below is the result:
The Apartments With No Entrance A shady land sale has left the residents of Sea Park Apartments locked in a decades-long land dispute, with no control over their own homes.
These apartments are “Enclosed” in more ways than one: The original developer of the apartments sold the apartment’s carpark and common areas - which surround the apartment blocks - to an individual, leaving residents in the unusual position of having their homes completely encircled by someone else’s private land.
Built in the 70s and completed in the early 80s, Sea Park Apartments is one of the earliest apartments in Petaling Jaya, if not the earliest, constructed at a time when most residential developments in the area still involved landed properties.
This meant residents had no way to access their homes without first trespassing on private property, and no control over the common facilities sited on that private land.
The individual who purchased the disputed lands is Yap Say Tee, who once managed a hotel owned by the developer, and was earlier approached by the developer to manage the car park at Sea Park Apartments.
With the developer’s sale of these lands to Yap, the rules of the game changed: The developer is no longer the registered owner of the disputed lands nor responsible for addressing the remonstrations of the residents, which reached a peak in 2013.
With the facilities on private land, access road on private land, the property value will go down, and residents will have no agency.
I use gitlab ci mainly and dabble in github actions. Can you clarify how “Not even Github managed to pull that off”? IIRC, actions is quite featureful and it’s open-source, so I assume that can be run with self-hosted runners as well.