I think it's interesting that they've benchmarked it against an array of standardized tests. Seems like LLMs would be particularly well suited to this kind of test by virtue of it being simple prompt:response, but I have to say...those results are terrifying. Especially when considering the rate of improvement. bottom 10% to top 10% of LSAT in What are the implications for society when general thinking, reading, and…
GPT-4
131–140 of 1001 posts
Re: GPT-4
#132Access is invite only for the API, and rate limited for paid GPT+. > gpt-4 has a context length of 8,192 tokens. We are also providing limited access to our 32,768–context (about 50 pages of text) version, gpt-4-32k, which will also be updated automatically over time (current version gpt-4-32k-0314, also supported until June 14). Pricing is $0.06 per 1K prompt tokens and $0.12 per 1k completion tokens. The context le…
$0.12 per 1k completion tokens is high enough that it makes it prohibitively expensive to use the 32k context model. Especially in a chatbot use case with cumulative prompting, which is the best use case for such a large context vs. the default cheaper 8k window. In contrast, GPT-3.5 text-davinci-003 was $0.02/1k tokens, and let's not get into the ChatGPT API.
Re: GPT-4
#133I've been wondering what happens to Turnitin (ubiquitous academic plagiarism detector) now that students can cheat using infinite bespoke rather than finite pre-existing material. Just a few weeks ago they released a tool to "detect" ChatGPT. Obsolete already? https://www.turnitin.com/blog/sneak-preview-of-turnitins-ai-...
The world has changed and their job is to prepare students for it.
Re: GPT-4
#134This is huge: "Rather than the classic ChatGPT personality with a fixed verbosity, tone, and style, developers (and soon ChatGPT users) can now prescribe their AI’s style and task by describing those directions in the 'system' message."
Re: GPT-4
#135Re: GPT-4
#136> Given both the competitive landscape and the safety implications of large-scale models like GPT-4, this report contains no further details about the architecture (including model size), hardware, training compute, dataset construction, training method, or similar.
I'm curious whether they have continued to scale up model size/compute significantly or if they have managed to make significant innovations there.
I just skimmed the paper but seems they are also omitting details about how they actually feed the images in too, which is a shame as a curious outside observer.
Re: GPT-4
#137Interesting that the hardest AP exams for it seem to be the English ones. I wonder why?
Re: GPT-4
#138Is the content on the internet what we should be basing our systematic thinking around?
No, I think this is the lazy way to do it - by using commoncrawl you've enshrined the biases and values of the people who are commenting and providing text to the internet into the recommendation system which will be impacting all other systems which integrate it
Congratulations, you made 4Chan into the borg
Re: GPT-4
#139This technology has been a true blessing to me. I have always wished to have a personal PhD in a particular subject whom I could ask endless questions until I grasped the topic. Thanks to recent advancements, I feel like I have my very own personal PhDs in multiple subjects, whom I can bombard with questions all day long. Although I acknowledge that the technology may occasionally produce inaccurate information, the…
But it often produces wrong information. If you don't know the subject (since you are learning), how do you distinguish between correct information and incorrect but very plausible-sounding information?