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reveurmichael committed Oct 31, 2023
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -24,7 +24,7 @@ A curated list of awesome AI courses, tutorials, books, tools, and other learnin

## 🤖 Ocademy GenAI [![](<https://img.shields.io/badge/-start%20to%20create%20%E2%86%92-rgb(224,156,55)?style=for-the-badge>)](./generative-ai/prompts/README.md)

Resources about Generative AI, started with a list of prompts for AI Teaching and Learning.
In our collection of **Generative AI resources**, we feature a list of prompts for AI Teaching and Learning, including our innovative [AI Tutor Prompt](generative-ai/prompts/AI-Tutor.md) and the [AI Tutor Prompt](generative-ai/prompts/ai-tutor.md).

![ezgif com-video-to-gif](https://github.com/ocademy-ai/machine-learning/assets/5424267/5b8e3f70-a88e-4f69-8a17-dcae7856eda6)

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# Design of AI Tutor Prompt

We have designed an **AI Tutor** intended for educational scenarios, primarily aimed at providing guidance to students in various aspects of proactive learning.
We have designed an **AI Tutor** intended for educational scenarios, primarily aimed at providing guidance to students in various aspects of proactive learning.

The AI Tutor Prompt adapts to two key educational scenarios:

1. Classroom Learning: The AI Tutor functions like a digital teacher, enabling personalized interactions and focused learning on specific topics like the "Gradient Descent" algorithm.
2. Course Project Assistance: It guides students through machine learning projects, from setting up environments to implementing projects in a step-by-step fashion.

Our AI Tutor is designed to significantly enhance the learning experience in AI and machine learning.

# Usage Scenarios

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2 changes: 1 addition & 1 deletion open-machine-learning-jupyter-book/_config.yml
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Expand Up @@ -21,7 +21,7 @@ execute:
- 'ml-fundamentals/build-a-web-app-to-use-a-machine-learning-model.md'
- 'ml-fundamentals/regression/managing-data.md'
- 'ml-fundamentals/regression/loss-function.ipynb'
- 'ml-advanced/ensemble-learning/random-forest.md'
- 'ml-advanced/ensemble-learning/random-forest.ipynb'
- 'ml-advanced/clustering/introduction-to-clustering.ipynb'
- 'ml-advanced/clustering/k-means-clustering.ipynb'
- 'data-science/data-visualization/visualization-distributions.md'
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2 changes: 1 addition & 1 deletion open-machine-learning-jupyter-book/_toc.yml
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Expand Up @@ -95,7 +95,7 @@ parts:
- file: deep-learning/autoencoder.md
- file: deep-learning/lstm.ipynb
- file: deep-learning/time-series.ipynb
- file: deep-learning/dqn.md
- file: deep-learning/dqn.ipynb
- file: deep-learning/image-classification.md
- file: deep-learning/image-segmentation.md
- file: deep-learning/difussion-model.md
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