Creating ReAct AI Agents with Mistral-7B/Mixtral and Ollama using Recipes I Chris Hay

Creating ReAct AI Agents with Mistral-7B/Mixtral and Ollama using Recipes I Chris Hay
In this video, Chris shows how you can build effective ReAct AI agents with the Mixtral and Mistral-7B models using Langchain, Ollama and Recipes. Chris gives a brief overview of how the ReAct pattern works and how smaller models such as ChatGPT 3.5 and Mistral 7B struggle to perform the pattern due to lack of reasoning. Chris also does a quick run of other open source models such as Llama. Finally Chris shows how you can use recipes to have smaller models be able to execute as agents.
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Video title: Creating ReAct AI Agents with Mistral-7B/Mixtral and Ollama using Recipes I Chris Hay
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🔎Hashtags relevantes:
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[@msssouza2]

Hi. I was looking for dozens of videos on how to make ReAct work on 7B models (to make a low cost Text to Sql solution) and the only video the answer my question so far is yours. Thank you. By the way, I'm from Rio and the current time is 09:42 AM

[@chrishayuk]

Lol, hello Rio, glad you like the example. Glad the video is useful, my back rule is to always go one level below and unveil the magic, glad it helped in this case

[@Leo-ph7ow]

I like your videos a lot! Thanks!

[@chrishayuk]

Glad you like them!

[@MukulTripathi]

Did you mean "function calling" at 10:10 ?

[@chrishayuk]

Yes, but who knows what I actually said, my brain sometimes jumps ahead

[@juliussakalys9600]

So this is what prompt engineering really is

[@chrishayuk]

yeeep

[@maskedvillainai]

You really need to explain why models ability has nothing to do with its model size. It has to do with the human’s ability to guide those models. GPT went through that already. Now you do it with a new model and boom