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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.

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import subprocess
import shutil
import boto3
import json
import os

def lambda_handler(event, context):
    #Parameters =============================
    pipPackage = "requests"
    packageVersion = "2.26.0"

threadstonesecure

ANSI Escape Sequences

Standard escape codes are prefixed with Escape:

• Ctrl-Key: ^[
• Octal: \033
• Unicode: \u001b
• Hexadecimal: \x1b
• Decimal: 27

threadstonesecure

AWS Certification notes

Those are my personal notes on AWS Solution Architect certification preparation. Hope you find them usefull.

To pass AWS certification, you should have:

• Sound knowledge about most of the AWS services ( EC2, VPC, RDS, Cloudfront, S3, Route53 etc,)
• Hands on experience with AWS services.

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A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

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Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

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apply plugin: 'java'
apply plugin: 'maven-publish'

repositories { jcenter() }
dependencies { compile 'org.slf4j:slf4j-api:1.7.12' }

publishing {
  repositories {
    maven {
      url "http://127.0.0.1:8081/artifactory/libs-release-local/"