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HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

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101–110 of 280 posts

Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

#101
post #89
post #19

Earlier quoted context omitted.

I agree, I suspect AGI is possible right now with a similar system only slightly more sophisticated than this one. The right "glue" for existing models, and plugins to existing data sources all coordinated in a system. GTP-4 would do the managing, and handling, and some simple template API and handler script would allow it to call instances of itself or other models, track recursion depth, and automatically remind GT…

I'm prone to agree. Your memory would still require being parsed by the language model, and for it to have a sufficient window as to allow this. Alternately, the human mind keeps, what, 7 items 'present' at a time? When the 32k variant comes out, the ability to use a side-along memory module on a running self-summarizing conversation will be even easier than it is now. I expect a more human-like memory will emerge ev…

I think this is a good example of deep conceptual understanding, I suspect if you posed this same problem to adult humans (e.g. me) they wouldn't be able to do as well.

Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

#102
post #28

Earlier quoted context omitted.

GPT-4 can do this. I realize that a description of how these models work implies that this is absolutely impossible , so I have no explanation other than suggesting you go try it out for yourself.

There is no description of how these models work, other than mechanically.

exactly... some people are using such descriptions to think about its limitations, but there is no reason to think they are accurate

Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

#103

A lot of LLM/ AI research feels like a big “duh.” The language model, being trained on essentially the primary way in which humanity communicates, might be a good means of managing integration of less language-focused models. …duh?

animals which use tools: great apes (gorillas, chimpanzees, orangutans), monkeys, otters, dolphins, some bird species, octopus, and a few crocodilian species.

now LLMs are on this list. a thing which isn't born, doesn't experience, can be copied and instantiated a million times, and a single improvement can be basically immediately propagated to all instances. a very unfamiliar thing with very familiar capabilities.

so, technically, it was obvious. socially and psychologically, we'll be dealing with it for the rest of our civilization's lifetime.

Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

#104
post #70

I strongly suspect the first AGI will come sooner than expected on the back of a "glue" AI that can intelligently bond together a web of narrow AIs and utilities. I got access to the wolfram plugin for chatGPT, and it turned it from a math dummy to a math genius overnight. A small step for sure, but a hint of what's to come.

I've built a service for building systems like this. I haven't officially "launched" yet, but it's working and you can play with it here, if anybody is up to giving the alpha a spin: https://aistudio.fly.dev/

It's oddly fitting that your example workflow appears to be scraping content from elsewhere, rewording it, and generating an image in order to produce automated blogspam.

Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

#105
post #4

Am I the only one with an uneasy feeling about all these advancements? Are we going fast or is it just because of the buzz? I have a hard time separating the two. It’s very exiting and I want to keep being exited. I don’t want to become terrified.

I think we are at, or very near, the inflection point in that picture of that graph that is rising linearly for centuries and then suddenly goes exponential.

https://waitbutwhy.com/wp-content/uploads/2015/01/G1.jpg

Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

#106
post #19

Earlier quoted context omitted.

I agree, I suspect AGI is possible right now with a similar system only slightly more sophisticated than this one. The right "glue" for existing models, and plugins to existing data sources all coordinated in a system. GTP-4 would do the managing, and handling, and some simple template API and handler script would allow it to call instances of itself or other models, track recursion depth, and automatically remind GT…

I believe you will quickly run into a barrier due to the small size of the context window. And increasing the context window gets harder and harder the larger it is. There's a sibling talking about internal memory. That's how our brains solve the issue. AFAIK, nobody knows how to train something like it.

Approaches like RETRO tack vector search over a fixed database onto an attention based model - that's how you get long term memory. People are already working on it for the current crop of LLMs.

Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

#107

Earlier quoted context omitted.

The problem was always underspecified. We don’t have a quantifiable metric for intelligence except IQ tests, benchmark datasets like those used to evaluate different LLMs, and other similarly myopic bullshit. “We’ll know it when we see it” becomes the default. In reality, the goal posts aren’t being moved, we’re just finding out how much further we are from them than we thought. ChatGPT is a "stochastic parrot" that’…

Sorry but nope. GPT-4 is plenty intelligent. I've begun to question the intelligence of anyone that reduces it to "stochastic parrot" because they're not even arguing against results but arbitrary lines drawn on sand. The "We'll see it when it comes" line is just utterly wrong, If there's one thing experts seem to agree on is that not everyone will agree when current definition of agi does arrive. The philosophical z…

> The philosophical zombie is an excellent example of the extent of post shifting we're capable of.

I was with you until here. That has nothing to do with this. That argument is about separating intelligence from having a subjective experience, not moving goalposts for intelligence.

Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

#108
I always wondered what it was like for people that lived through the discovery of relativity. It must have just been world changing to understand what it meant and how entire perspectives and theories were dead overnight. Just a massive change in the understanding of our existence and the potential it unlocked.

These types of things must feel similar.

Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

#109

Earlier quoted context omitted.

Have you actually tried it? GPT-4: "The forward mapping M that I created to map positive integers to English sentences is based on a general guideline, where smaller-valued numbers generally correspond to shorter sentences using more common words. However, this mapping is not a perfect bijection, meaning there isn't necessarily a one-to-one correspondence between integers and sentences. The generation of sentences is…

I am getting super tired of these responses. Yes, I have tried it. Please converse in good faith. GPT-4 has never, not once, in dozens of hours of use, asked me a clarifying question. It cannot understand things.

ReAct will, example: https://github.com/neilellis/coding-with-gpt-4/blob/main/lan...

Re: HuggingGPT: Solving AI tasks with ChatGPT and its friends in HuggingFace

#110

I always wondered what it was like for people that lived through the discovery of relativity. It must have just been world changing to understand what it meant and how entire perspectives and theories were dead overnight. Just a massive change in the understanding of our existence and the potential it unlocked. These types of things must feel similar.

that was much more gradual and did not affect everyday life at all. Even today most people don't know/care about the implications of relativity :)
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