571–580 of 1001 posts
A class of problem that GPT-4 appears to still really struggle with is variants of common puzzles. For example: >Suppose I have a cabbage, a goat and a lion, and I need to get them across a river. I have a boat that can only carry myself and a single other item. I am not allowed to leave the cabbage and lion alone together, and I am not allowed to leave the lion and goat alone together. How can I safely get all three…
What do cows drink?
https://cdn.openai.com/papers/gpt-4.pdf >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. At that point, why bother putting out a paper?
Access 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…
Will any of the profits be shared with original authors whose work powers the model?
How many parameters does it have? Are there different versions like LLaMa?
It fails on this one, a horse is 15 dollar, a chicken 1 dollar, a egg .25 dollar. I can spend a 100 and i want 100 items total, what is the solution
The comments on this thread are proof of the AI effect: People will continually push the goal posts back as progress occurs. “Meh, it’s just a fancy word predictor. It’s not actually useful.” “Boring, it’s just memorizing answers. And it scored in the lowest percentile anyways”. “Sure, it’s in the top percentile now but honestly are those tests that hard? Besides, it can’t do anything with images.” “Ok, it takes imag…
You will see skepticism until it is ubiquitous; for example, Tesla tech - it’s iterative and there are still skeptics about its current implementation.
From the paper: > 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 innovati…
Without paper and architecture, GPT-4 (GPT-3+1) could be just a marketing gimmick to upsell it and in reality it is just microservices of existing A.I models working together as AIaaS (A.I. as a service)