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Course of Add Artificial Intelligence Following Best Practices

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Javier FerrerRafa Gómez

By Javier Ferrer y Rafa Gómez – Software Design and Architecture, Artificial Intelligence y Backend

Add AI to your website following software best practices.

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💸 First lesson available without registration 💸

When we are going to implement AI in our application, we ask ourselves questions like:

  • 📚 Is the model a Repository?
  • ✍️ Can I have typed responses from an LLM?
  • ✅ How can the result of an LLM be tested?

And the truth is that being a new field, there is very little literature on it.

In this course, we have "fought" to get the cleanest implementation that fits best with good software architecture.

We cover everything from what AI concepts we need to understand to applying a real use case.

Videos of the course

  • 🪜 What You Need to Know About AI as a Developer: Models vs Ollama vs LangChain
  • 🦙 AI Integration in 5 Minutes: Getting Started with Ollama
  • 👇 Demystifying AI Apps: LangChain vs ModelFusion

  • 🤷 Infrastructure or Domain: Notify Course Suggestions
  • 🔎 Infrastructure or Domain: Implementation Details

  • 🔀 Alternative 1: Orchestrated by Use Case
  • 🪆 Alternative 2: Encapsulated in UserRepository

  • 🗣️ Implement a Recommender: Next Course Based on History
  • 🪆 Determinism via Cache

  • ✍️ Event-Driven Architecture: Integrate LLM with Domain Events
  • 📤 LLM + Domain Events: Implementation Details

  • 💬 Integrate OpenAI GPT into Your Application
  • 📏 What is a Token and How is it Calculated?
  • 💸 Pricing: Cost Estimation of the OpenAI API

  • 📖 Prompting Techniques: Zero-shot vs Few-shot vs Chain-of-Thought
  • 🔫 Implement Few-Shot Prompting with LangChain
  • 🧾 Get More Robust Responses: Typing with JSON Schema

  • 🐛 Faster Feedback Loop to Debug Your Prompt
  • 🧪 How to Perform Integration Tests on Your LLM
  • ♻️ Configure Your CI Environment for Ollama and GPT

  • 🤟 Conclusions and Next Steps
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