Mike Preston Darkflib

Embeddings and dimensionality reduction in the context of RAG (Retrieval Augmented Generation).

Vector embeddings typically have many dimensions (e.g., 768, 1024, or 1536 dimensions depending on the model), but you're correct that they can often be compressed while maintaining much of their utility. Here's why and how this works:

Primary Principles:

Embeddings encode semantic meaning across their dimensions
The dimensions aren't necessarily ordered by importance in their raw form
However, we can transform them to be ordered by importance

Dimensionality Reduction Methods:

Can you explain what the following script does?

#!/usr/bin/env python3

import os
import signal
import subprocess
import sys

ADHD "superpowers" and how to leverage them.

Introduction: People with ADHD have "secret superpowers" that can be unlocked and used to build successful lives.
Superpower 1 - Broad Attention and Quick Connections:
- People with ADHD have an abundance of attention rather than a deficit.
- They can take in more external information at once.
- This allows for quick connections and "aha" moments.
- It's described as having a "sixth sense" or "ADHD intuition."

What Kenoros proposed to teach the eighteen teams was a technique he called Last Minute Implementation, and it scared the hell out of Tompkins. The scheme involved deferring coding as long as possible, spending the middle forty percent or more of the project doing an elaborate, exaggeratedly detailed low-level design, one that would have perfect one-to- one mappings to the eventual code. It was this time spent on design that was supposed to result in a much reduced need for debugging.

Here's a roadmap split into Backend Technology and Backend Software Engineering, aimed at providing a structured path for someone new to the field.

Backend Technology

This section covers the core technologies that power backend systems.

Fundamentals of Backend Development
- Client-Server Model: Understand how the client-server architecture works, the role of HTTP/HTTPS, and how requests/responses are managed.
- DNS and Networking Basics: Learn how DNS works, IP addressing, TCP/IP, and basic networking principles that affect backend services.

	import pysmartthings
	import asyncio
	import logging
	import os
	import dotenv
	import aiohttp

	dotenv.load_dotenv()

	# Enable default logging

	import pysmartthings
	import asyncio
	import logging
	import os
	import dotenv
	import aiohttp

	dotenv.load_dotenv()

	# Enable default logging

	from langchain.llms import OpenAI
	from langchain.callbacks.base import BaseCallbackHandler

	# Example Callback Handler
	class CustomCallbackHandler(BaseCallbackHandler):
	def on_llm_start(self, serialized, prompts, **kwargs):
	print("LLM is starting...")
	print("Prompts:", prompts)

	def on_llm_new_token(self, token, **kwargs):

	#!/bin/bash

	# MIT License - [email protected]


	vsc-ext-man() {
	VSCODE_BINARY=${VSCODE_BINARY:-code}
	COMMAND=$1
	FILE=$2 # FILE is set if provided

	from pyspark.sql import SparkSession

	# Initialize a Spark session
	spark = SparkSession.builder \
	.appName("Read SQLite with PySpark") \
	.config("spark.jars", "/path/to/sqlite-jdbc-3.34.0.jar") \
	.getOrCreate()

	# Define the JDBC URL for the SQLite database
	jdbc_url = "jdbc:sqlite:/path/to/example.db"