Artificial Intelligence & ChatGPT Prompts

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🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

Network:Data Analytics India8 947 Technologies & Applications3 096...

📈 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 42 292 subscribers, ranking 3 096 in the Technologies & Applications category and 8 947 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 42 292 subscribers.

According to the latest data from 02 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 40 over the last 30 days and by -14 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 1.57%. Within the first 24 hours after publication, content typically collects 0.68% reactions from the total number of subscribers.
Post reach: On average, each post receives 663 views. Within the first day, a publication typically gains 286 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
Thematic interests: Content is focused on key topics such as learning, algorithm, detection, llm, pattern.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data”

Thanks to the high frequency of updates (latest data received on 03 September, 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.

42 292

Subscribers

-1424 hours

+127 days

+4030 days

663

Post views

~ 28624 hours

~ 39148 hours

1.57%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

42 292

Chrome vs Firefox

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𝐀𝐈 & 𝐌𝐋 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐅𝐫𝐨𝐦 𝐓𝐨𝐩 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐢𝐨𝐧𝐬!😍 Explore these 6 amazing courses offered by the Government of India, Google, Harvard, MIT, and IBM. Gain hands-on knowledge in Generative AI, Python, Machine Learning, and AI’s impact on business strategy—all at no cost. Plus, you’ll earn certificates to boost your resume! 𝐋𝐢𝐧𝐤 👇:- https://bit.ly/3ZZj9rc Enroll For FREE & Get Certified 🎓

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AI Side Hustles Cheat Sheet 💵 👇👇 https://t.me/Learn_Startup/303

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AI Prediction in 2025 1. Major Acquisitions: Anthropic (Amazon), Mistral (Meta), and Cohere (Google). 2. Mistral will be absorbed into Meta 3. Cohere will be bought by Google 4. Rest like SSI (from Ilya) etc will simply fold like Inflection AI etc. 5. Only OpenAI and XAI may remain as independent companies. 6. Mainstream Adoption of AI Agents. 7. Proliferation of Specialized Large Language Models.

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Machine Learning Roadmap

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ChatGPT For Learning

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🌟 𝐆𝐨𝐨𝐠𝐥𝐞 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬😍 🚀 Master the latest skills with FREE Courses in: ✨ Generative AI ☁️ Cloud Computing 𝐂𝐥𝐢𝐜𝐤 𝐇𝐞𝐫𝐞 𝐭𝐨 𝐒𝐭𝐚𝐫𝐭👇:- https://pdlink.in/4gM0xAn Enroll Now & Get Certified for FREE! 🎓

42 292

Python Functions

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🚀 𝐁𝐞𝐜𝐨𝐦𝐞 𝐚 𝐓𝐎𝐏 𝐍𝐎𝐓𝐂𝐇 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭/𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 😍 Curriculum designed and taught by Alumni from IITs & Leading Tech Companies. 👩‍🎓 1500+ Students Placed 💼 7.2 LPA Avg. Package 💰 41 LPA Highest Package 🤝 450+ Hiring Partners 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰👇 : https://pdlink.in/3BLThWo ( Limited Slots ) Land your Dream Data Science and AI Job, Learn live from top Data Experts

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Full stack Development

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Free Career Guidance Session on Full Stack Development 👇👇 https://link.guvi.in/SQLspecialist01080

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Will LLMs always hallucinate? As large language models (LLMs) become more powerful and pervasive, it's crucial that we understand their limitations. A new paper argues that hallucinations - where the model generates false or nonsensical information - are not just occasional mistakes, but an inherent property of these systems. While the idea of hallucinations as features isn't new, the researchers' explanation is. They draw on computational theory and Gödel's incompleteness theorems to show that hallucinations are baked into the very structure of LLMs. In essence, they argue that the process of training and using these models involves undecidable problems - meaning there will always be some inputs that cause the model to go off the rails. This would have big implications. It suggests that no amount of architectural tweaks, data cleaning, or fact-checking can fully eliminate hallucinations. So what does this mean in practice? For one, it highlights the importance of using LLMs carefully, with an understanding of their limitations. It also suggests that research into making models more robust and understanding their failure modes is crucial. No matter how impressive the results, LLMs are not oracles - they're tools with inherent flaws and biases LLM & Generative AI Resources: https://t.me/generativeai_gpt

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42 292

Git commands basics