Arrêtez de payer ChatGPT, utilisez ces IA à la place

Introduction

This tutorial will guide you through using local AI models instead of relying on online services like ChatGPT. You'll learn how to install and utilize various open-source AI models on your computer, ensuring data privacy while working offline. This knowledge is particularly useful for situations where internet access is limited, such as traveling.

Step 1: Understanding Open Source AI Models

• Open source AI models are software whose source code is available for anyone to use, modify, and distribute.
• Benefits include:
  • No subscription fees
  • Control over your data and privacy
  • Community support and continuous updates

Step 2: Choosing the Right AI Model

• Evaluate your needs and computer power to select an appropriate model. Here are a few to consider:
  • Mistral: Lightweight, suitable for basic tasks.
  • DeepSeek: Good for more complex queries.
  • Gemma: User-friendly for non-technical users.
• Consider factors like:
  • Model capabilities
  • Required system resources (RAM, CPU)

Step 3: Installing Local AI Models

For Windows and Mac

1. Ollama:

   • Visit ollama.com to download and install.
   • Follow the installation prompts.

2. LM Studio:

   • Go to lmstudio.ai and download.
   • Follow the installation instructions specific to your OS.

3. Enchanted (Mac only):

   • Access enchanted.chat for installation.
   • Follow the on-screen guide.

Common Pitfalls

• Ensure your system meets the model's requirements to avoid performance issues.
• Disable any conflicting software (like other AI tools) before installation.

Step 4: Configuring Your AI Environment

• Set up an interface using Enchanted or LM Studio:
  • Open the installed application.
  • Configure settings according to your preferences for an optimal experience.

Step 5: Optimizing Your AI Usage

• Use additional tools to enhance functionality:
  • Ngrok: Create a secure tunnel to expose your local server to the internet. Visit ngrok.com for setup.
  • Continue and VS Code: For code generation, visit continue.dev.
  • Make and n8n: Automate tasks and workflows. Visit make.com and n8n.io respectively for more details.

Step 6: Advanced Applications

• Explore advanced uses of local AI models:
  • Use API integrations to automate processes.
  • Generate code locally using the tools mentioned above.
  • Implement Retrieval-Augmented Generation (RAG) techniques for enhanced information retrieval.

Conclusion

By following these steps, you can effectively set up and utilize local AI models for various tasks while maintaining control over your data. This approach not only saves costs but also expands your capabilities in offline environments. For further exploration, consider diving deeper into automation with tools like Make and n8n, or learning more about APIs and RAG.