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I am thinking the same thing! Multiple "personalities", in parallel, or in series. For example, I have approximated, in GPT, some of Gemini's ability to call ou
by andai 2y ago
I am thinking the same thing! Multiple "personalities", in parallel, or in series. For example, I have approximated, in GPT, some of Gemini's ability to call out nonsense, sloppy thinking, by telling GPT to be mean! (The politeness seems to filter out much that is of great value!)
However, the result is not pleasant to read. Gemini solved this in their training, by doing it in two phases... and making the first phase private! ("Thinking.")
So I thought, what I need is a two-phase approach, where that "mean" output gets humanized a little bit. (It gets harsh to work in that way for more than short intervals.)
As a side note, I think there would be great value in a UI that allows a "group chat" of different LLM personalities. I don't know if such a thing exists, but I haven't seen it yet, although the message object format seems to have been designed with it in mind (e.g. every message has a name, to allow for multiple users and multiple AIs).
Even better if it supports multiple providers, since they have different strengths. (It's like getting a second opinion.)
- NitpickLawyer 2y ago> As a side note, I think there would be great value in a UI that allows a "group chat" of different LLM personalities. This is the basic idea behind autogen. They also have a web UI now in autogen studio, it's gotten a bit better. You can create "teams" of agents (with different prompts, themes, tools, etc.) and have them discuss / cooperate. I think they even added memory recently. Have a look at it, might be what you need.
- jbm 2y agoI disagree. If anything, telling GPT to be blunt seems to downgrade its IQ; it hallucinates more and makes statements without considering priors or context. I jokingly call it Reddit mode.
- dingnuts 2y agowhy would that be a joke? there's a ton of Reddit comments in the training data, and the output is of similar quality. LLMs are literally outputting average Reddit comments.
- inanutshellus 2y agoSee, he's not joking, he's "joking" ...
- MoonGhost 2y agoReddit works hard to make comments accessible to only Google. However MS + OIA might have grabbed something before Reddit-Google contract.
- jbm 2y agoI have hard similar things but I think that's an exaggeration. When I tell GPT o3 or o4-high to assume a professional air, it stops acting like a meat-based AIs on r/politics; specifically, it stops making inane assumptions about the situation and starts becoming useful again. For example, I had a question from a colleague that made no sense and I was trying to understand it. After feeding the question to GPT 3o, it aggressively told me that I made a major mistake in a quote and I had to make major changes. (It would be OK if this is what the colleague had said, but this wasn't the case). In reality the colleague had misunderstood something about the scope of the project and GPT had picked up on the other person's opinion as the "voice of reason" and just projected what it thought he was saying in a stronger way. I changed its instructions to "Be direct; but polite, professional and helpful. Make an effort to understand the assumptions underlying your own points and the assumptions made by the user. Offer outside-of-the-box thinking as well if you are being too generic.". The aggro was immediately lost, and it instead it actually tried to clarify what my colleague was saying and being useful again. I agree with those who say the vanilla version is sycophantic, but the plain talk version has far too many bad habits from the wrong crowd. It's a bit like Monday; lots of aggro, little introspection of assumption.
- theturtletalks 2y agoMoE, but an abstraction deeper?