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DeeperHermes DeepHermes can act as a simple AI agent or a deep thinking AI, just by passing a system prompt. But what if we can go DEEPER? The LLM decides on its own how to respond by...asking itself! (No system prompts) I made a gradio app powered by LM...

40,886 Aufrufe • vor 1 Jahr •via X (Twitter)

9 Kommentare

Profilbild von cocktail peanut
cocktail peanutvor 1 Jahr

What's going on above? 1. First & Second questions are simple, so the model acts as a basic agent ("capital of china", "3+5") 2. Third question is complex, requires resasoning. So starts with [THINKING] then ends with an [ANSWER]. All on its own!

Profilbild von cocktail peanut
cocktail peanutvor 1 Jahr

How it works: Step 1. When the user asks a question, DeepHermes asks itself which mode it should respond with, based on the question. This generates the relevant system prompt. Step 2. The system prompt from step 1 is used to actually ask the original question.

Profilbild von cocktail peanut
cocktail peanutvor 1 Jahr

Here's the github

Profilbild von cocktail peanut
cocktail peanutvor 1 Jahr

Also put it on Pinokio so you can also easily play with it with 1-click. Since the LLM inference is powered by LMStudio, it works on ALL machines and OS.

Profilbild von cocktail peanut
cocktail peanutvor 1 Jahr

also posted on reddit

Profilbild von Conor
Conorvor 1 Jahr

@lmstudio @Teknium1 check this out

Profilbild von JaimeOrtega.eth
JaimeOrtega.ethvor 1 Jahr

@lmstudio Meanwhile, OpenAI:

Profilbild von Crystalwizard
Crystalwizardvor 1 Jahr

@lmstudio well, yeah - why wouldn't it? that's what we humans do, we mull things over.

Profilbild von Iván Martínez
Iván Martínezvor 1 Jahr

@lmstudio Very interesting concept, this is where AI UX should be heading. Everyday users shouldn't be deciding whether or not to enable "reasoning" for each question. Intent and complexity detection are key. Thanks for sharing!

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