adamsmith

There are two prompts, that chain together. The first prompt does most of the work, and the second prompt organizes the sections. I found because of the nature of how LLMs write, I couldn't get just one prompt to never jump back and forth in topics.

Prompt 1, which takes as input a raw transcript and generates a structured-text version...

"""# Instructions
A transcript is provided below of a voice memo I recorded as a "note to self". please extract all the points made or thoughts described, and put them in bullet-point form. use nested bullet points to indicate structure, e.g. a top-level bullet for each topic area and sub-bullets underneath. use multi-level nesting as appropriate to organize the thinking logically. use markdown formatting with `*` instead of `-` for bullet points.

DO NOT OMIT ANY POINTS MADE. This is not a summarization task — your only goal is to structure the thoughts there so they are logically organized and easy to read. Be concise because the reader is busy, but again DO NOT omit any

veekaybee

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

DylanBaker

#!/usr/bin/env python
# coding: utf-8

import requests
from datetime import datetime, timedelta

## Configs - enter CLIENT_ID and CLIENT_SECRET

BASE_URL = ''
CLIENT_ID = ''

pvillard31

<?xml version="1.0" ?>
<template encoding-version="1.0">
  <description></description>
  <groupId>e5a5f628-0159-1000-afdb-0edd88ca8397</groupId>
  <name>template-nifi-oauth2</name>
  <snippet>
    <connections>
      <id>f66d8688-0159-1000-0000-000000000000</id>
      <parentGroupId>e5a5f628-0159-1000-0000-000000000000</parentGroupId>
      <backPressureDataSizeThreshold>1 GB</backPressureDataSizeThreshold>