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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 просмотров • 1 год назад •via X (Twitter)

Комментарии: 9

Фото профиля cocktail peanut
cocktail peanut1 год назад

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!

Фото профиля cocktail peanut
cocktail peanut1 год назад

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.

Фото профиля cocktail peanut
cocktail peanut1 год назад

Here's the github

Фото профиля cocktail peanut
cocktail peanut1 год назад

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.

Фото профиля cocktail peanut
cocktail peanut1 год назад

also posted on reddit

Фото профиля Conor
Conor1 год назад

@lmstudio @Teknium1 check this out

Фото профиля JaimeOrtega.eth
JaimeOrtega.eth1 год назад

@lmstudio Meanwhile, OpenAI:

Фото профиля Crystalwizard
Crystalwizard1 год назад

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

Фото профиля Iván Martínez
Iván Martínez1 год назад

@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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