4 ms·

Nothing, it means nothing, like most of this "AI" hype nonsense. They copy paste text transcripts into an Llm and have it generate more text based on its train

Nothing, it means nothing, like most of this "AI" hype nonsense. They copy paste text transcripts into an Llm and have it generate more text based on its training and prompt data. You can't "chat" with a text document of course.

camus_absurd 2y ago
I’m not sure I follow. Can you explain ‘you can’t chat with a text document’ because you clearly can.
- hombre_fatal 2y ago
  Is anyone even chomping at the bit to hear a pedant explain how "chatting with a text document" isn't the most precise way to phrase this concept that we all understand?
  - ipaddr 2y ago
    chatting with a bot about a text document. chatting about a text document Chatting with a text document implies it has AI or magical abilities. You wouldn't say you are chatting with your dog if you are talking to your wife about your dog.
    - deleted 2y ago
      [deleted]
- ivewonyoung 2y ago
  IRC is just multiplayer Notepad.
yreg 2y ago
Chat with the document means chat about that document with an LLM who has “read” it. It can be useful; it's not hype nonsense.
- jonwinstanley 2y ago
  Ahh ok. So rather than watch the video or read the transcript you just ask the one thing you want to know. Could it take you to the moment in the video that is useful too?
  - yreg 2y ago
    You could ask it for a couple of verbatim sentences from the transcript that are most related to what you are interested in, then find the timestamp for that text. (There could be UI for this.) Another solution would be to skip the LLM prompting part altogether and 1. break the transcript into short sections 2. create embeddings from them and remember the timestamps for each 3. embed your query (what are you interested in) 4. calculate the closest embedding in the transcript to your query 5. return the original timestamp
    - ofou 2y ago
      That's a good idea. However, I believe the challenging part lies in first reconstructing the short utterances into coherent, meaningful paragraphs. Currently, with the API [1], you can retrieve a JSON with timestamps. The main issue, though, is how to parse the text effectively into meaningful sentences, and then add the timestamps at the beginning of the paragraph. WIP. [1]: https://textube.olivares.cl/watch?v=9iqn1HhFJ6c&format=JSON https://textube.olivares.cl/watch?v=9iqn1HhFJ6c&format=JSON

camus_absurd 2y ago

I’m not sure I follow. Can you explain ‘you can’t chat with a text document’ because you clearly can.

hombre_fatal 2y ago
Is anyone even chomping at the bit to hear a pedant explain how "chatting with a text document" isn't the most precise way to phrase this concept that we all understand?
- ipaddr 2y ago
  chatting with a bot about a text document. chatting about a text document Chatting with a text document implies it has AI or magical abilities. You wouldn't say you are chatting with your dog if you are talking to your wife about your dog.
  - deleted 2y ago
    [deleted]
ivewonyoung 2y ago
IRC is just multiplayer Notepad.

yreg 2y ago

Chat with the document means chat about that document with an LLM who has “read” it. It can be useful; it's not hype nonsense.

jonwinstanley 2y ago
Ahh ok. So rather than watch the video or read the transcript you just ask the one thing you want to know. Could it take you to the moment in the video that is useful too?
- yreg 2y ago
  You could ask it for a couple of verbatim sentences from the transcript that are most related to what you are interested in, then find the timestamp for that text. (There could be UI for this.) Another solution would be to skip the LLM prompting part altogether and 1. break the transcript into short sections 2. create embeddings from them and remember the timestamps for each 3. embed your query (what are you interested in) 4. calculate the closest embedding in the transcript to your query 5. return the original timestamp
  - ofou 2y ago
    That's a good idea. However, I believe the challenging part lies in first reconstructing the short utterances into coherent, meaningful paragraphs. Currently, with the API [1], you can retrieve a JSON with timestamps. The main issue, though, is how to parse the text effectively into meaningful sentences, and then add the timestamps at the beginning of the paragraph. WIP. [1]: https://textube.olivares.cl/watch?v=9iqn1HhFJ6c&format=JSON https://textube.olivares.cl/watch?v=9iqn1HhFJ6c&format=JSON