This tutorial shows how to run Large Language Models locally on your laptop using llama.cpp and GGUF models.
It works on:
- macOS
- Linux
- Windows
The best guide to install Kubeflow or any of its components is the official documentation.
https://www.kubeflow.org/docs/started/
In this tutorial, we will learn how to Install, Configure and Use the most popular component of Kubeflow that is KFP (Kubeflow Pipelines).
| import redis | |
| import time | |
| import random | |
| import string | |
| import statistics | |
| # Redis connection details | |
| REDIS_HOST = "redisval-bu8xv7.serverless.use1.cache.amazonaws.com" | |
| REDIS_PORT = 6379 # TLS port (verify if TLS supported on this port!) | |
| REDIS_PASSWORD = None |
| #!/bin/bash | |
| # Variables | |
| JENKINS_HOME="/var/lib/jenkins" # Replace with your Jenkins home directory | |
| S3_BUCKET="s3://your-s3-bucket-name" # Replace with your S3 bucket name | |
| DATE=$(date +%Y-%m-%d) # Today's date | |
| # Check if AWS CLI is installed | |
| if ! command -v aws &> /dev/null; then | |
| echo "AWS CLI is not installed. Please install it to proceed." |
| # Create EKS Cluster | |
| eksctl create cluster --name=observability \ | |
| --region=us-east-1 \ | |
| --zones=us-east-1a,us-east-1b \ | |
| --without-nodegroup | |
| eksctl utils associate-iam-oidc-provider \ | |
| --region us-east-1 \ | |
| --cluster observability \ |