Earlier quoted context omitted.
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Oh, not this again. No, it's not a net negative in ALL forms. And if you really were concerned about downsides, AI has a ton more potential downsides than Web3 ever did, including human extinction, as many of its top proponents have come out and publicly said. Nothing even remotely close to that is the case for Web3 at all: https://www.nytimes.com/2023/05/30/technology/ai-threat-warn... https://www.theguardian.com/te…
PdfGptIndexer: Indexing and searching PDF text data using GPT-2 and FAISS
31–40 of 143 posts
Re: PdfGptIndexer: Indexing and searching PDF text data using GPT-2 and FAISS
#32Earlier quoted context omitted.
Oh, not this again. No, it's not a net negative in ALL forms. And if you really were concerned about downsides, AI has a ton more potential downsides than Web3 ever did, including human extinction, as many of its top proponents have come out and publicly said. Nothing even remotely close to that is the case for Web3 at all: https://www.nytimes.com/2023/05/30/technology/ai-threat-warn... https://www.theguardian.com/te…
" many of its top proponents have come out and publicly said." You don't have to uncritically accept that, it's far more likely that they're just self aggrandizing in a "wow I'm so smart my inventions can destroy the world, better give me more money and write articles about me to make sure that doesn't happen".
But with Web3, we should just listen to a bunch of random no-name haters say “there are NO GOOD APPLICATIONS, trust us, period, stop talking about it”, use no nuance or critical thinking of our own, and simply stop building on Web3.
Do you happen to see the extreme double standard here you’re employing, while trying to get people to see things your way?
Re: PdfGptIndexer: Indexing and searching PDF text data using GPT-2 and FAISS
#33Earlier quoted context omitted.
Consumer-grade, AFAIK it's GPT4All with LLaMA.
Link?
Re: PdfGptIndexer: Indexing and searching PDF text data using GPT-2 and FAISS
#34Re: PdfGptIndexer: Indexing and searching PDF text data using GPT-2 and FAISS
#35The most frustrating thing about the many, many clones of this exact type of idea is that pretty much all of them require OpenAI. Stop doing that. You will have way more users if you make OpenAI (or anything that requires cloud) the 'technically possible but pretty difficult art of hoops to make it happen' option, instead of the other way around. The best way to make these apps IMO is to make them work entirely local…
They're not here to release an actual product. They're here to release part of a CV proving they have "OpenAI" experience. I'm assuming this is the result of OpenAI not actually having any homegrown certification program of their own.
Re: PdfGptIndexer: Indexing and searching PDF text data using GPT-2 and FAISS
#36The most frustrating thing about the many, many clones of this exact type of idea is that pretty much all of them require OpenAI. Stop doing that. You will have way more users if you make OpenAI (or anything that requires cloud) the 'technically possible but pretty difficult art of hoops to make it happen' option, instead of the other way around. The best way to make these apps IMO is to make them work entirely local…
Have you seen PrivateGPT. It's quite good and free.
Re: PdfGptIndexer: Indexing and searching PDF text data using GPT-2 and FAISS
#37Earlier quoted context omitted.
The only OpenAI 'crap' being used here is to generate the embeddings. Right now, OpenAI has some of the best and cheapest embeddings possible, especially for personal projects. Once the vectors are created tho, you're completely off the cloud if you so choose. You can always swap out the embedding generator too, because LangChain abstracts that for your exact gripes. Everything else is already using huggingface here…
Do you have citations on OpenAI embeddings being some of the cheapest and best? The signs I've seen points almost in the opposite direction?
Re: PdfGptIndexer: Indexing and searching PDF text data using GPT-2 and FAISS
#38Keep your data private and don't leak it to third parties. Use something like privateGPT (32k stars). Not your keys, not your data. "Interact privately with your documents using the power of GPT, 100% privately, no data leaks"[0] [0] https://github.com/imartinez/privateGPT
Re: PdfGptIndexer: Indexing and searching PDF text data using GPT-2 and FAISS
#39Earlier quoted context omitted.
The only OpenAI 'crap' being used here is to generate the embeddings. Right now, OpenAI has some of the best and cheapest embeddings possible, especially for personal projects. Once the vectors are created tho, you're completely off the cloud if you so choose. You can always swap out the embedding generator too, because LangChain abstracts that for your exact gripes. Everything else is already using huggingface here…
Do you have citations on OpenAI embeddings being some of the cheapest and best? The signs I've seen points almost in the opposite direction?
Even if the alternative is free, how much do you value your time, how long will it take to set up an alternative, and how much use will you get out of it? If you're getting less than a million tokens and it takes half an hour longer to set up, you'd better be a student with zero literally income because that cost of time matches the UN abject poverty level. This is also why it's never been the year of linux on the desktop, and why most businesses still don't use Libre Office and GIMP.
I can't speak for quality; even if I used that API directly, this whole area is changing too fast to really keep up.
Re: PdfGptIndexer: Indexing and searching PDF text data using GPT-2 and FAISS
#40The most frustrating thing about the many, many clones of this exact type of idea is that pretty much all of them require OpenAI. Stop doing that. You will have way more users if you make OpenAI (or anything that requires cloud) the 'technically possible but pretty difficult art of hoops to make it happen' option, instead of the other way around. The best way to make these apps IMO is to make them work entirely local…
I'm so horrified that they are going to take away the ability to ask medical questions when the AMA comes knocking at their door.