正在加载视频...

视频加载失败

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 次观看 • 1 年前 •via X (Twitter)

9 条评论

cocktail peanut 的头像
cocktail peanut1 年前

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!

cocktail peanut 的头像
cocktail peanut1 年前

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.

cocktail peanut 的头像
cocktail peanut1 年前

Here's the github

cocktail peanut 的头像
cocktail peanut1 年前

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.

cocktail peanut 的头像
cocktail peanut1 年前

also posted on reddit

Conor 的头像
Conor1 年前

@lmstudio @Teknium1 check this out

JaimeOrtega.eth 的头像
JaimeOrtega.eth1 年前

@lmstudio Meanwhile, OpenAI:

Crystalwizard 的头像
Crystalwizard1 年前

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

Iván Martínez 的头像
Iván Martínez1 年前

@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!

相关视频