0xdevalias

AI Agent Rule / Instruction / Context files / etc

Some notes on AI Agent Rule / Instruction / Context files / etc.

Table of Contents

• AGENTS.md
• AGENT.md (Legacy)
• llms.txt

johnhw

### JHW 2018
import numpy as np
import umap



# This code from the excellent module at:
# https://stackoverflow.com/questions/4643647/fast-prime-factorization-module
    
import random

posener

Story: Writing Scripts with Go

This is a story about how I tried to use Go for scripting. In this story, I’ll discuss the need for a Go script, how we would expect it to behave and the possible implementations; During the discussion I’ll deep dive to scripts, shells, and shebangs. Finally, we’ll discuss solutions that will make Go scripts work.

Why Go is good for scripting?

While python and bash are popular scripting languages, C, C++ and Java are not used for scripts at all, and some languages are somewhere in between.

h4

from __future__ import with_statement
from alembic import context
from sqlalchemy import engine_from_config, pool
from logging.config import fileConfig

from models import Base

config = context.config

fileConfig(config.config_file_name)

karpathy

"""
A bare bones examples of optimizing a black-box function (f) using
Natural Evolution Strategies (NES), where the parameter distribution is a 
gaussian of fixed standard deviation.
"""

import numpy as np
np.random.seed(0)

# the function we want to optimize

kylemcdonald

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

ncopa

FROM python:2.7-alpine
MAINTAINER Nick Janetakis <nick.janetakis@gmail.com>

ENV INSTALL_PATH /bsawf
RUN mkdir -p $INSTALL_PATH

WORKDIR $INSTALL_PATH

COPY requirements.txt requirements.txt
RUN apk add --no-cache --virtual .build-deps \

bellbind

# La Primavera (Vivaldi)

# Scale: Just Intornation
# E major (E=1, B=3/2, Gs=5/4, Fs=9/8, Ds=15/8, A=4/3, Cs=5/3)
def mult(n, m)
  hz_to_midi(midi_to_hz(n) * m)
end
#jE5 = mult(:A5, 3.0/4)
jE5 = mult(:C5, 5.0/4)
jiscale = {

chrishwiggins

ICERM Data Science: references and links

Talk delivered 2015-07-29 at ICERM workshop on "mathematics and data science"

PDF on slideshare of talk slides

context

• google search trends: data science