siliconjungle

import readline from 'readline'
import chalk from 'chalk'
import OpenAI from 'openai'
import { LocalIndex } from 'vectra'
import { fileURLToPath } from 'url'
import path, { dirname } from 'path'

const __filename = fileURLToPath(import.meta.url)
const __dirname = dirname(__filename)

Hellisotherpeople

You probably don't know how to do Prompt Engineering

(This post could also be titled "Features missing from most LLM front-ends that should exist")

Apologies for the snarky title, but there has been a huge amount of discussion around so called "Prompt Engineering" these past few months on all kinds of platforms. Much of it is coming from individuals who are peddling around an awful lot of "Prompting" and very little "Engineering".

Most of these discussions are little more than users finding that writing more creative and complicated prompts can help them solve a task that a more simple prompt was unable to help with. I claim this is not Prompt Engineering. This is not to say that crafting good prompts is not a difficult task, but it does not involve doing any kind of sophisticated modifications to general "template" of a prompt.

Others, who I think do deserve to call themselves "Prompt Engineers" (and an awful lot more than that), have been writing about and utilizing the rich new eco-system

aweary

import { z } from "zod";
import { zodToTs, printNode } from "zod-to-ts";
// Replace with your `openai` thing
import { openai } from "../openai.server";
import endent from "endent";


function createJSONCompletion<T extends z.ZodType>({
  prompt,
  schema_name,

geastwood

# ZSH
autoload -U add-zsh-hook

# place default node version under $HOME/.node-version
load-nvmrc() {
  DEFAULT_NODE_VERSION=`cat $HOME/.node-version`
  if [[ -f .nvmrc && -r .nvmrc ]]; then
    fnm use
  elif [[ `node -v` != $DEFAULT_NODE_VERSION ]]; then
    echo Reverting to node from "`node -v`" to "$DEFAULT_NODE_VERSION"

dethi

#!/bin/bash

# Launch inside a create-react-app project after building the production build.
# Require `jq`.

diff \
	<(find src -type f \( -name '*.js' -o -name '*.jsx' -o -name '*.css' \) | sort) \
	<(cat build/**/*.map | jq --raw-output '.sources | join("\n")' \
		| grep -v '\.\./' | grep -E '\.(js|jsx|css)$' \
		| sed "s#^#src/#" | sort | uniq) \

ryansimms

Deploying to Elastic Beanstalk via CircleCi 2.0

I got to here after spending hours trying to deploy to an Elastic Beanstalk instance via CircleCi 2.0 so I thought I'd write up what worked for me to hopefully help others. Shout out to RobertoSchneiders who's steps for getting it to work with CircleCi 1.0 were my starting point.

For the record, I'm not the most server-savvy of developers so there may be a better way of doing this.

Setup a user on AWS IAM to use for deployments

• Add user here

nathanaelnsmith

export default (routes) => {
  return {
    fire (func,funcname, args){
      funcname = (funcname === undefined) ? 'init' : funcname;
      if (func !== '' && routes[func] && typeof routes[func][funcname] == 'function'){
        routes[func][funcname](args);
      }
    },
    load() {
      var bodyId = document.body.id;

woffleloffle

/**
 *  This parses multipart/form-data when passed into a Lambda function through
 *  API Gateway using the following Integration Request Mapping Template:

#set($allParams = $input.params())
{
  "body" : $input.json('$'),
  "params" : {
    #foreach($type in $allParams.keySet())
    #set($params = $allParams.get($type))

bcherny

terminal:

npm i --save-dev rollup rollup-watch rollup-plugin-typescript typescript typings
npm i -S react react-dom
./node_modules/.bin/typings install react react-dom --save
mkdir src dist
touch src/index.tsx

paullewis

/*!
 * Copyright 2015 Google Inc. All rights reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software