- Create a new directory with these three files (requirements.txt, main.py, README.md)
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python main.py
- Update
main()
to run the example prompt chains
from fastapi import Request, HTTPException | |
from pydantic import BaseModel, BaseModel, HttpUrl | |
from modal import Secret, App, web_endpoint, Image | |
from typing import Optional, List | |
from example import proposal | |
import os | |
app = App(name="circleback", image=Image.debian_slim().pip_install("openai", "pydantic", "fastapi")) | |
class Attendee(BaseModel): |
# 2023-11-27 MIT LICENSE | |
Here's the open source version of my ChatGPT game MonkeyIslandAmsterdam.com. | |
It's an unofficial image+text-based adventure game edition of Monkey Island in Amsterdam, my home town. | |
Please use it however you want. It'd be nice to see more ChatGPT-based games appear from this. If you get inspired by it, please link back to my X https://x.com/levelsio or this Gist so more people can do the same! | |
Send me your ChatGPT text adventure game on X, I'd love to try it! |
Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.
Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labour costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.
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### UPDATE: For Win 11, I recommend using this tool in place of this script: | |
### https://christitus.com/windows-tool/ | |
### https://github.com/ChrisTitusTech/winutil | |
### https://www.youtube.com/watch?v=6UQZ5oQg8XA | |
### iwr -useb https://christitus.com/win | iex | |
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