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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

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๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

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๐Ÿ“ˆ Analytical overview of Telegram channel Artificial Intelligence & ChatGPT Prompts

Channel Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) in the English language segment is an active participant. Currently, the community unites 42 105 subscribers, ranking 3 235 in the Technologies & Applications category and 9 556 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 42 105 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 171 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.47%. Within the first 24 hours after publication, content typically collects 0.74% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 040 views. Within the first day, a publication typically gains 311 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as learning, algorithm, detection, llm, pattern.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œ๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_dataโ€

Thanks to the high frequency of updates (latest data received on 12 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

42 105
Subscribers
-224 hours
+317 days
+17130 days
Posts Archive
โœ… If you're serious about learning Artificial Intelligence (AI) โ€” follow this roadmap ๐Ÿค–๐Ÿง  1. Learn Python basics (variables, loops, functions, OOP) ๐Ÿ 2. Master NumPy Pandas for data handling ๐Ÿ“Š 3. Learn data visualization tools: Matplotlib, Seaborn ๐Ÿ“ˆ 4. Study math essentials: linear algebra, probability, stats โž— 5. Understand machine learning fundamentals: โ€“ Supervised vs unsupervised โ€“ Train/test split, cross-validation โ€“ Overfitting, underfitting, bias-variance 6. Learn scikit-learn: regression, classification, clustering ๐Ÿงฎ 7. Work on real datasets (Titanic, Iris, Housing, MNIST) ๐Ÿ“‚ 8. Explore deep learning: neural networks, activation, backpropagation ๐Ÿง  9. Use TensorFlow or PyTorch for model building โš™๏ธ 10. Build basic AI models (image classifier, sentiment analysis) ๐Ÿ–ผ๏ธ๐Ÿ“œ 11. Learn NLP concepts: tokenization, embeddings, transformers โœ๏ธ 12. Study LLMs: how GPT, BERT, and LLaMA work ๐Ÿ“š 13. Build AI mini-projects: chatbot, recommender, object detection ๐Ÿค– 14. Learn about Generative AI: GANs, diffusion, image generation ๐ŸŽจ 15. Explore tools like Hugging Face, OpenAI API, LangChain ๐Ÿงฉ 16. Understand ethical AI: fairness, bias, privacy ๐Ÿ›ก๏ธ 17. Study AI use cases in healthcare, finance, education, robotics ๐Ÿฅ๐Ÿ’ฐ๐Ÿค– 18. Learn model evaluation: accuracy, F1, ROC, confusion matrix ๐Ÿ“ 19. Learn model deployment: FastAPI, Flask, Streamlit, Docker ๐Ÿš€ 20. Document everything on GitHub + create a portfolio site ๐ŸŒ 21. Follow AI research papers/blogs (arXiv, PapersWithCode) ๐Ÿ“„ 22. Add 1โ€“2 strong AI projects to your resume ๐Ÿ’ผ 23. Apply for internships or freelance gigs to gain experience ๐ŸŽฏ Tip: Pick small problems and solve them end-to-endโ€”data to deployment. ๐Ÿ’ฌ Tap โค๏ธ for more!

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