ChatGPT 'Code Interpreter' But 100% Open-Source (Open Interpreter Tutorial)

This is my second video about Open Interpreter, with many new features and much more stability, the new Open Interpreter is amazing.

Update: Mixtral 7x8b wasn't working for me because I didn't have my GPU turned on, so it was running on pure CPU. 🤦‍♂️

Enjoy :)

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Links:

Chapters:
0:00 - Introduction to Open Interpreter
0:35 - How to Install
4:02 - Using Vision
6:16 - Creating and Reusing Tools
7:43 - Writing Code on top of Open Interpreter
10:01 - Using OS Models

[matthew_berman]

Should I do a follow up video on their new "OS Mode" which allows Open Interpreter to directly control your keyboard and mouse?

[OliNorwell]

The pacing of your videos are great, fast but easy to follow. I'm sure editing isn't easy but the results are great. Looking forward to trying this tonight on my machine.

[josgraha]

yeah this has really blown up, thanks so much as always Matt. it would be cool if you did a follow up on the OS mode. you're demos are so clear and i really walk away with a fuller understanding of the core use cases and how to test them!

[mvasa]

Can you imagine - we went from command line to UI and now back to command line - (for efficiency)!

[RodgerE]

Holy F*** this is amazing. Been using computers for over 40 years, I always dreamed of something like this. I started with an 8-bit Atari.

[pcdzbdu]

Love this video. AI is like employing a friendly idiot who doesn't know he's an idiot and is the perfect example of the reality of AI from a result perspective.
I really hope this video becomes popular as its brilliant. Nobody else seems to publish stuff like this, please don't stop!

[joetkeshub]

Exciting and great pedagogy. But it's really really dense. I had to watch your post partially on and on to get a decent working local. Thank you very much Matthew. There are several tutos on line but yours are particularly interesting. There's a lot of work behind I presume. ;p

[marcfruchtman]

Yet again, amazing progress. Thanks for this video.

[endoflevelboss]

Awesome this channel is improving massively. No tie-dye hoodie. Good job 👍

[warezit]

🎯 Key Takeaways for quick navigation:

00:00 🚀 *Introduction to Open Interpreter *
- Overview of Open Interpreter, an open-source project similar to ChatGPT's code interpreter.
- Can be run locally and powered by open-source models.
- Significant improvements since the last review, including full computer control and developer-friendly features.
02:04 💻 *Demonstrating Open Interpreter's Capabilities *
- Practical demonstration of controlling the computer using Open Interpreter.
- Examples include folder management and image format conversion.
- Highlights the ease and versatility of using Open Interpreter for various tasks.
04:07 🖼️ *Introducing Vision Feature and HTML Code Generation *
- Introduction of the Vision feature in Open Interpreter.
- Demonstrates creating HTML elements from images using the Vision feature.
- Showcases Open Interpreter's ability to write and correct code dynamically.
07:09 🛠️ *Creating and Reusing Tools with Open Interpreter *
- Explains how to create and save reusable tools in Open Interpreter.
- Example of converting and saving a conversion tool script.
- Emphasizes the convenience of reusing code for similar tasks in the future.
08:04 🌐 *Building Applications on Open Interpreter *
- Guide on how to integrate Open Interpreter into applications.
- Demonstrates using Open Interpreter within a Python environment.
- Discusses potential issues and the self-correcting nature of the interpreter.
10:09 🌍 *Running Open Interpreter Locally with LM Studio *
- Instructions for running Open Interpreter completely locally using LM Studio.
- Discusses different model options and their impact on performance.
- Highlights the flexibility and independence of using local models.
13:04 🧠 *Future Vision and Conclusion *
- Discussion of the future vision for Open Interpreter and its potential impact.
- Encourages experimentation and feedback on the Open Interpreter project.
- Concludes with thoughts on the evolving interface of large language models with computers.

Made with HARPA AI

[kyrilgarcia]

just installed it with mistral 7B running in LM studio, this is an absolutely amazing project that i'm gonna be using every day for a lot of stuff.
thanks for the tutorial and review! 🙂

[pipoviola]

You are a LEGEND already! Thank you very much

[PierreMorelChannel]

For the lang="en" error I see a space between the les than symbols. What we see is < lang="en"> and should be <html lang="en">

[LukasSmith]

wow this is surreal to see! I wonder what the best coding model is and plug that into interpreter and see how it does

[MarkusEicher]

Thanks for this awesome into to Open Interpreter. This is truly the way to go. I just love it. Getting rid of all this proprietary bs with os, app stores and closed source models makes my day.

[johnsonjohnasson]

Loving the work Matthew. One thing. Any way you can type somewhere other than the bottom of the screen. Pausing puts the YT toolbar right where all the goodness is

[superfishintights]

Have you ever had issues where it seems to struggle to execute code? It keeps timing out and never actually executing anything unless I ctrl+c. Arch + fish shell (tried it from within bash as well, no difference), and using conda / python3.11

[idris_pm]

Thanks for the great video.
Does this sort or disrupt the robotic process automation now?

[ROKontotheFuture]

I love your videos as I've been using to install software you've recommended. I'm trying to figure out what you are running your code in as it doesn't look like my Terminal on iMac. What's the environment you run the code? Thanks for all the tips.

[Joe_Brig]

Any way to see the prompts that are going to the LLM?