641–650 of 1001 posts
From the livestream video, the tax part was incredibly impressive. After ingesting the entire tax code and a specific set of facts for a family and then calculating their taxes for them, it then was able to turn that all into a rhyming poem. Mind blown. Here it is in its entirety: --- In the year of twenty-eighteen, Alice and Bob, a married team, Their income combined reached new heights, As they worked hard day and…
After watching the demos I'm convinced that the new context length will have the biggest impact. The ability to dump 32k tokens into a prompt (25,000 words) seems like it will drastically expand the reasoning capability and number of use cases. A doctor can put an entire patient's medical history in the prompt, a lawyer an entire case history, etc. As a professional...why not do this? There's a non-zero chance that i…
They also just tweeted this to showcase how it can work with multimodal data too: https://twitter.com/gpt_index/status/1635668512822956032?s=4...
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…
I bet they use CLIP to caption the image and feed the text of the caption into GPT, but that's just a guess.
It's almost certainly a VQ-VAE-style encoding of the image itself into a sequence of tokens, as was done by DALL-E 1, CM3, Gato and a whole bunch of more recent models. It's the very obvious thing to do, and their context window is more than large enough now.
After watching the demos I'm convinced that the new context length will have the biggest impact. The ability to dump 32k tokens into a prompt (25,000 words) seems like it will drastically expand the reasoning capability and number of use cases. A doctor can put an entire patient's medical history in the prompt, a lawyer an entire case history, etc. As a professional...why not do this? There's a non-zero chance that i…
The power openai will hold above everyone else is just too much. They will not allow their AI as a service without data collection. That will be a big pill to swallow for the EU.
I just finished reading the 'paper' and I'm astonished that they aren't even publishing the # of parameters or even a vague outline of the architecture changes. It feels like such a slap in the face to all the academic AI researchers that their work is built off over the years, to just say 'yeah we're not telling you how any of this is possible because reasons'. Not even the damned parameter count. Christ.
The sceptical me says its more of a marketing ploy, for people not subscribed to chatgpt pro yet, getting v4 is a good reason. I wouldn't be suprised if they get millions of new subscribers today.
After watching the demos I'm convinced that the new context length will have the biggest impact. The ability to dump 32k tokens into a prompt (25,000 words) seems like it will drastically expand the reasoning capability and number of use cases. A doctor can put an entire patient's medical history in the prompt, a lawyer an entire case history, etc. As a professional...why not do this? There's a non-zero chance that i…
I expect you could summarize the preceding, already generated story within that context, and then just prompt for the next chapter, until you reach a desired length. Just speculating here.
The one thing I truly cannot wait for is LLM's reaching the ability to generate (prose) books.
Want to see something interesting? Paul Bellow tried using GPT-4 as an AI game master for Dungeons & Dragons. It's eerily good, and I'm not sure how I feel about how it kept the personality Paul gave it at the beginning. https://www.youtube.com/watch?v=H-89vnqxkFg