Maharshi-Pandya

You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

## Core Principles

1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference

buanzo

# This is a work in progress. There are still bugs. Once it is production-ready this will become a full repo.
import os

def count_tokens(text, model_name="gpt-3.5-turbo", debug=False):
    """
    Count the number of tokens in a given text string without using the OpenAI API.
    
    This function tries three methods in the following order:
    1. tiktoken (preferred): Accurate token counting similar to the OpenAI API.
    2. nltk: Token counting using the Natural Language Toolkit library.

rain-1

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

Alir3z4

import os
import pickle
import warnings

import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Dropout

IanColdwater

Mute these words in your settings here: https://twitter.com/settings/muted_keywords

ActivityTweet
generic_activity_highlights
generic_activity_momentsbreaking
RankedOrganicTweet
suggest_activity
suggest_activity_feed
suggest_activity_highlights
suggest_activity_tweet

nileshtrivedi

The Composable Web Proposal

Serverless infrastructure like AWS Lambda and Google Cloud Functions have made it much cheaper for developers to offer server-side code for public consumption without keeping a server always running.

If these functions could be declared as stateless or deterministic, costs can be brought down even more because only the first invocation needs to be executed. Cached response could be returned for future invocations with the same input arguments.

All modern browsers support URL lengths of thousands of characters, even on mobile. A lot of data can be embedded and passed around directly in the URLs (instead of passing identifiers which requires a look-up which costs server time).

So here's a thought:

mikowl

// Inspired by https://twitter.com/coderitual/status/1112297299307384833 and https://tapajyoti-bose.medium.com/7-killer-one-liners-in-javascript-33db6798f5bf

//  Remove any duplicates from an array of primitives.
const unique = [...new Set(arr)]

// Sleep in async functions. Use: await sleep(2000).
const sleep = (ms) => (new Promise(resolve => setTimeout(resolve, ms)));
// or
const sleep = util.promisify(setTimeout);

treypeng

require('./util');

const Candler = require('./candle-db');

const ATR_LENGTH = 24;
const SMA_LENGTH = 24;

let trs = [];    // series. needed by atr() function.

QuantBits

// ==UserScript==
// @name         BitMex USD Converter
// @namespace    https://bitmex.com/
// @version      0.11
// @description  Get some sanity into your gambling.
// @author       koinkraft
// @grant        none
// @include      https://bitmex.com/*
// @include      https://www.bitmex.com/*
// @require      https://code.jquery.com/jquery-2.1.4.min.js

drewm

const puppeteer = require('puppeteer');
const imagemin = require('imagemin');
const imageminPngquant = require('imagemin-pngquant');

// Get the URL and the slug segment from it
const url = process.argv[2];
const segments = url.split('/');
const slug = segments[segments.length-2];

(async () => {