Yohei Profile picture
Oct 5, 2022 5 tweets 3 min read Read on X
Fun little #dalle hack: use in-painting to extend your brand.

Example: I created robots and patterns based on the Geppetto logo.
For the robots, I was originally trying to come up with variations to see if it would improve. I kept portions of the logo and ran #dalle.

The result was a cute robot.

Realized I could rerun the prompt for infinite robot variations. Ta da!
For the patterns, I first kept the head and then prompted #dalle for repeating patterns.

Took pieces of this new pattern and reran as a repeating pattern. Sometimes it didn’t work, as you can see.

Still, the result is a variety of pattern inspirations that match the branding!
I mean look at these cute lil fellas!
Lolz

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More from @yoheinakajima

Sep 30
okay, i did a thing…

here’s babyagi 2 - a weird Python framework for building a self-building autonomous agent

- stores and executes functions from a database
- auto logging (as graph)
- built-in dashboard & chat playground
- prototype self-build functionality

wanna see? 👇Image
friendly reminder: babyagi is a personal side project being shared publicly. i am not a dev, never studied cs, this is not secure, not meant for production, and meant for playing/as inspiration for developers. Image
it is available on the babyagi repo at:

find the old version archived at babyagi_archive:

but more importantly, you can do this now!

pip install babyagigithub.com/yoheinakajima/…
github.com/yoheinakajima/…Image
Read 19 tweets
Sep 26
A helpful autonomous agent has access to all the tools you need - and nothing more. But we all have different needs, changing all the time, so...

what we need is a self-building autonomous agent.

Here, I'll describe the 3 levels of self-building autonomous agents:Image
Before we start, this is Level 0.

A library of functions built by human developers that the AI has access to. The agent is not building its own functions.*

*tools, skills, api calls, are all just functions Image
Level 1: Request-based

Users can request to have functions generated by an AI, and when they query the system, the new function is available as an option for the AI to use.

*There's lots that goes into this "Create Function Tool", but let's keep the chart simple (eg. documentation search)Image
Read 6 tweets
May 2
here friends, i open-sourced it: prettygraph



at 201 lines of code (69 in back, 132 in front), it's just a quick hack i did for myself to test this UIgithub.com/yoheinakajima/…
if you're interested in a web app, you can try out (which doesn't have highlights, but has more robust knowledge graph building).

the repo for instagraph is here: instagraph.ai
github.com/yoheinakajima/…
instagraph let's you combine graphs manually but if you're interested in automatically merging graphs, check out my more recent project: mindgraph

github.com/yoheinakajima/…
Read 5 tweets
May 1
look at this pretty little text-to-knowledge graph ui Image
Image
no confusion here Image
Read 7 tweets
Apr 19
great to see everyone at AI rabbithole event today!

as promised, here's my deck with abbreviated narrative.

(video was recorded, will share when available) Image
agents agents agents!

40+ agent related github projects today with 500+ stars, 90% of which are less than a year old. Image
where are we going? robots and virtual agents.

biggest difference is that robots are constrained in physical space, and virtual agents can run tasks in parallel and be in multiple "places" Image
Read 30 tweets
Apr 9
fascinating! the left and right images are built with the same agent log data (last 100 logs).

- left: each log is a unique node
- right: bundled edges/nodes by the function type of the log

result on right let's me easily see most used paths and functions.
Image
Image
Refactored the code and you can visually see the changes by comparing the two graphs!
Image
Image
made it so i can click on a function and see the recent log details of that specific function Image
Read 5 tweets

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