appenz

5 ms·

1. 1.▲
   by appenz 7d ago

   IANAL and this is not legal advice, but to explain the issue further in a number of countries training is considered fair use. If someone training the model can find one country where this is the case (and there are no edge case issues from
2. 2.▲
   by appenz 1y ago

   I tested it against Flux Pro Kontext (also image editing) and while it's a very different style and approach I overall like Flux better. More focus on image consistency, adjusts the lighting correctly, fixes contradictions in the image
3. 3.▲
   by appenz 3y ago

   No deeper reason. I think there just a lot in LLMs happening right now which skewed it towards them. We would love to do something in the SD ecosystem.
4. 4.▲
   by appenz 3y ago

   We 100% agree!
5. 5.▲
   by appenz 3y ago

   Chat history may work, it depends on how long it is and the business model. I don't quite understand how general summarization would work. If you use an LLM to simply to summarize in order to feed it into a prompt, the summarization ne
6. 6.▲
   by appenz 3y ago

   Summarization is much more expensive than vector db's. Assume you have 1m tokens of context. You could run all through GPT-4 and summarize the information, but it would cost $60 (based on current prices) and take 10's of minutes
7. 7.▲
   by appenz 4y ago

   Wrong school? Our local schools (Silicon Valley, CA) encourage kids to use Wikipedia. Your school may just be a little behind the times. The discussion now has moved to NLP models. GPT-3 models at this point can generate extremely high qual