Artificial Intelligence
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🔰 Machine Learning & Artificial Intelligence Free Resources

🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more

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🔗 Master 8 Essential Machine Learning Algorithms

To truly master these foundational algorithms

It's crucial to dive deeper into their real-world applications and understand how AI is shaping the future.


That's where "The Most Effective Guide to Master AI" comes in! This comprehensive guide covers everything you need to know:

- Real-world AI applications
- Computer Vision
- Generative Models
- Essential AI tools
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🔗 Master 8 Essential Machine Learning Algorithms
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To automate your daily tasks using ChatGPT, you can follow these steps:

1. Identify Repetitive Tasks: Make a list of tasks that you perform regularly and that can potentially be automated.

2. Create ChatGPT Scripts: Use ChatGPT to create scripts or workflows for automating these tasks. You can use the API to interact with ChatGPT programmatically.

3. Integrate with Other Tools: Integrate ChatGPT with other tools and services that you use to streamline your workflow. For example, you can connect ChatGPT with task management tools, calendar apps, or communication platforms.

4. Set up Triggers: Set up triggers that will initiate the automated tasks based on certain conditions or events. This could be a specific time of day, a keyword in a message, or any other criteria you define.

5. Test and Iterate: Test your automated workflows to ensure they work as expected. Make adjustments as needed to improve efficiency and accuracy.

6. Monitor Performance: Keep an eye on how well your automated tasks are performing and make adjustments as necessary to optimize their efficiency.
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Underrated Telegram Channel for Data Analysts 👇👇
https://t.me/sqlspecialist

Here, you will get free tutorials to learn SQL, Python, Power BI, Excel and many more

Hope you guys will like it 😄
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Skills required to become an AI engineer
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Data Scientist Roadmap 👆
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8 FREE AI Courses by Google 🎓🚀 Learn, Grow, and Succeed

1. Introduction to Generative AI
→ An introductory course to explain what generative AI is.
→ You'll learn how AI is used and how it's different from machine learning.

🔗 Course Link

2. Image Generation
→ Discover how to train and deploy a model to generate images.
→ After completing this course, you will be awarded a badge.

🔗 Course Link

3. Responsible AI
→ It explains what responsible AI is and why it's important.
→ Learn the 7 AI principles.

🔗 Course Link

4. Large Language Models
→ Explore what large language models (LLM) are.
→ How you can use prompting tuning to enhance LLM performance.

🔗 Course Link

5. Transformer and BERT Models
→ Two essential AI models.
→ How it is to build the BERT model.
→ Upon completion, you will be awarded a badge.

🔗 Course Link

6. Attention Mechanism
→ Introduce you to the attention mechanism.
→ Find out how it can be applied to enhance AI tasks' performance.

🔗 Course Link

7. Generative AI Studio
→ Integrate AI into your apps.
→ Find out about Generative AI Studio, what it can do, and it's features.

🔗 Course Link

8. Image recognition
→ Learn how to create an AI that understands images.
→ Practical learning so that you can create your own by the end of the course.

🔗 Course Link

All the best 👍👍

#freecourses
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Machine Learning vs Deep Learning
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Forwarded from Generative AI
LLM Project Ideas 👆