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Linux Opensource

Introduction

Artificial Intelligence (AI) has rapidly evolved from a concept in science fiction to a revolutionary technology reshaping industries worldwide. It enables machines to learn, reason, and perform tasks that traditionally required human intelligence. From automation to deep learning, AI is transforming the way we work, communicate, and solve problems. This article explores AI in detail, covering its history, types, applications, advantages, challenges, and future trends.

History of AI

The origins of AI trace back to ancient mythology and early philosophical inquiries into the nature of intelligence. However, AI as a field of study emerged in the 1950s. Key milestones include:

1950 - Alan Turing proposed the Turing Test, a method to determine machine intelligence.

1956 - The Dartmouth Conference officially marked the birth of AI as a discipline.

1980s - Machine learning and expert systems gained prominence.

2000s – Present - The rise of deep learning, big data, and computational power fueled AI advancements in various industries.

Types of AI

AI is broadly categorized into three types based on its capabilities:

  • Narrow AI (Weak AI): Designed for specific tasks, such as virtual assistants (Siri, Alexa), recommendation systems, and autonomous vehicles.
  • General AI (Strong AI): Hypothetical AI with human-like cognitive abilities, capable of reasoning and learning across multiple domains.
  • Super AI: A theoretical stage where AI surpasses human intelligence, leading to potential existential concerns.

Key Technologies in AI

Several technologies power AI, including:

  • Machine Learning (ML): Algorithms that allow computers to learn from data.
  • Deep Learning: Neural networks modeled after the human brain for advanced pattern recognition.
  • Natural Language Processing (NLP): Enables machines to understand and process human language (e.g., ChatGPT, Google Translate).
  • Computer Vision: AI-driven image and video analysis.
  • Robotics: AI-powered machines that perform complex physical tasks.

Applications of AI

AI is transforming various industries, including:

  • Healthcare
  • Finance
  • Education
  • E-commerce
  • Cybersecurity
  • Transportation and Logistics
  • Entertainment and Media

Advantages of AI

  • Automation: Reduces human effort by handling repetitive tasks efficiently.
  • Accuracy: Minimizes errors, particularly in data-driven industries.
  • Faster Decision-Making: AI processes vast amounts of data quickly.
  • Cost Savings: Reduces operational costs and enhances productivity.
  • Enhanced Customer Experience: AI chatbots provide instant support.
  • 24/7 Availability: AI-powered systems function without breaks.

Challenges of AI

Despite its advantages, AI presents several challenges:

  • Ethical Concerns: AI can be misused for surveillance, deepfake generation, and biased decision-making.
  • Job Displacement: Automation may replace human jobs in various industries.
  • Bias in AI Algorithms: AI models may inherit biases from training data.
  • Security Risks: AI-powered cyberattacks pose threats to digital systems.
  • Lack of Transparency: AI decision-making is often complex and difficult to interpret.
  • Regulatory and Legal Issues: Governments struggle to regulate AI effectively.

Prerequisites:

  • Platform : Ubuntu 24.04
  • Network : Stable Internet Connection
  • RAM : Minimum 8GB RAM (recommended 16 GB RAM and Multi GPU)
  • HDD :  50 GB Free disk space
  • Interface : CLI / GUI 

Step 1 : Update Your System

sudo apt update && sudo apt upgrade -y #update your pc packages up to date 
sudo rebootc #reboot your system

Step 2 : Install Python and Git

sudo apt install python3 -y
python3 --version

Step 3: Install pip, the Python Package Manager

sudo apt install python3-pip -y
pip --version
Install Git
sudo apt install git -y
git --version

Step 4 : Install Ollama

curl -fsSL https://ollama.com/install.sh | sh
ollama --version

Step 5 : Restart ollama service

sudo systemctl status ollama.service

Step 6 : Download and Run the any AI Model (eg.DeepSeek Model)

ollama pull deepseek-r1:7b
ollama pull deepseek-r1:14b

 

ollama list

Step 7 : Now start specific model like 7b

ollama run deepseek-r1:7b

Graphical Mode Configuration

Step 1: Set Up the Web UI for AI (eg.DeepSeek)

sudo apt install python3-venv -y
python3 -m venv ~/prod
source ~/prod/bin/activate
Install Open WebUI 
pip install open-webui

Step 2 : Start the Open WebUI Server

open-webui serve

Open your browser and navigate to http://localhost:8080 to access the interface.

Step 3 : To have Open WebUI start automatically on system boot, create a systemd service file.

sudo vi /etc/systemd/system/open-webui.service

Step 4 : Add the Following Content:

[Unit]

Description=Open WebUI Service

After=network.target

[Service]

User= ubuntuuser

WorkingDirectory=/home/ubuntuuser/open-webui-venv

ExecStart=/home/ubuntuuser/prod/bin/open-webui serve

Restart=always

Environment="PATH=/home/ubuntuuser/prod/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"

[Install]

WantedBy=multi-user.target

Replace ubuntuuser  with your actual username 

Step 5 : Reload systemd & enable the service:

sudo systemctl daemon-reload
sudo systemctl enable open-webui.service
sudo systemctl start open-webui.service

Step 6 : Check the status of the service with 

sudo systemctl status open-webui.service

Step 7: Open any Browser like Mozila-firefox ,Google Chrome ..   hit this URL

http://<Your-Ubuntu-System-IPAddress>:8080
Sridhar S

Author

Sridhar S

Cloud Admin - Chadura Tech Pvt Ltd, Bangalore

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