Deep Research Done in Minutes With AI Agents (Tutorial)

Here's a tutorial for STORM, a Stanford University project that allows you to research any topic and build a Wikipedia page in minutes.

(North America only)

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[matthew_berman]

Should I do a follow up tutorial and show how to do everything locally?

[abhishek]

Ollama tutorial would be amazing. Please consider doing it. Also can you go through the storm paper? That can be an interesting series of going through key AI papers like REACT Storm, etc.

[I-Dophler]

🎯 Key points for quick navigation:

00:00 *🧠 Introduction to STORM AI*
- New Stanford project for creating comprehensive Wikipedia pages on any topic
- AI agents research and reference sources automatically
- Can be run locally with limited functionality
02:05 *🛠️ Installation and Setup Process*
- Cloning the GitHub repository
- Creating and activating a Conda environment
- Installing required dependencies
- Setting up secrets.toml file with API keys
04:50 *🖥️ Running STORM AI*
- Using the streamlit-based UI for easier interaction
- Demonstrating the research process on the topic "dogs"
- Showcasing the generated article with references
06:53 *🏠 Local Setup Options*
- Possibility of running without OpenAI API
- Support for VLM with Mistral
- Potential for using Llama (not fully implemented)

Made with HARPA AI

[BrandonFoltz]

Nice! It would be good to know how much the API calls cost for the dogs wiki just for a sense of scope.

[haroldpierre]

I have been loving STORM. Although, I wish I could modify that format further and not just generate a wikipedia style output.

[sergeziehi]

Amazing!!! Thesis reseachs are gonna never be the same!!!

[BorisHrzenjak]

I've been using it for a couple of days and it's amazing. You need to rewrite it of course but it can write amazing articles

[robbiemartin]

There is a good bit of overlap with this and Perplexity AI. I use Perplexity non stop!

Incredible, what he was able to archive in a short time is 99% usable, as always, you have to read it and correct it, but it was damn good.

[Nutz]

Yes a local tutorial for this would be great!

[jcoi]

if they make a tool that uses papers from top journals as references, it can be valuable

[aimhelpU]

I ran into a problem that indicated a couple of modules were not available. I tried to install them but found they existed in python 3.10 when I restarted the conda environment with python=3.10 everything worked fine. Great results!

[JimWellsIsGreat]

Thanks! Do you know approximately what the total token usage or API cost is to run each research instance?

[jameehuang]

Excellent data, I'm impressed by SmythOS's pre-built AI templates' versatility. It is like to having a personal helper! #SmythOS

[JonathanStory]

Your videos are always enjoyable. I have some critiques of the app related to authoritativeness, but guys smart enough to create the app are almost certainly also smart enough to anticipate such issues. Quibbles aside, it's potentially a wikipedia-killer.

[socialexperiment]

Мне очень нравиться как ты говоришь, и всегда стараешься быть максимально объективным и беспристрастным. Благодарю!😅

[egrinant]

Super cool but a wiki is not a Wikipedia, Wikipedia is a wiki, please don't mix these terms.

[michaelpiper]

yeah need this local. This structure is really helpful for a few other greater implementations.😮

[wtcbd]

Use this prompt to test reasoning with a known quantity with contextual inference

John observed two snakes headed for his yard from the driveway. One was red and the other was blue. The blue snake passed his yardstick and was wider than the yardstick. The red one passed the yardstick and was longer but not wider. John caught one of the snakes and it measured 9.75 inches. Which snake did John catch ?

[overai]

This is great. Amazing technology and a wonderful quick video showing it in action.