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Artificial Intelligence

Artificial Intelligence

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📈 Analytical overview of Telegram channel Artificial Intelligence

Channel Artificial Intelligence (@machinelearning_deeplearning) in the English language segment is an active participant. Currently, the community unites 55 402 subscribers, ranking 3 050 in the Education category and 6 211 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 55 402 subscribers.

According to the latest data from 30 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 683 over the last 30 days and by 41 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.87%. Within the first 24 hours after publication, content typically collects 1.33% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 3 250 views. Within the first day, a publication typically gains 736 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 25.
  • Thematic interests: Content is focused on key topics such as learning, classification, layer, pattern, chatbot.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data

Thanks to the high frequency of updates (latest data received on 31 August, 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 Education category.

55 402
Subscribers
+4124 hours
+1517 days
+68330 days
Posts Archive
6. Implement the LLM call function. • Asynchronously calls the LLM with the user's prompt • Returns the model name and its re
6. Implement the LLM call function. • Asynchronously calls the LLM with the user's prompt • Returns the model name and its response

5. Define the models and aggregator system prompt. • Specifies the LLMs to be used for generating responses • Defines the agg
5. Define the models and aggregator system prompt. • Specifies the LLMs to be used for generating responses • Defines the aggregator model and its system prompt

4. Initialize Together AI clients. • Sets up Together API key as an environment variable • Initializes both synchronous and a
4. Initialize Together AI clients. • Sets up Together API key as an environment variable • Initializes both synchronous and asynchronous Together clients

3. Set up the Streamlit app and API key input. • Creates a title for the app • Adds a secure input field for the Together API
3. Set up the Streamlit app and API key input. • Creates a title for the app • Adds a secure input field for the Together API key

2. Import necessary libraries • Streamlit for the web interface • asyncio for asynchronous operations • Together AI for LLM i
2. Import necessary libraries • Streamlit for the web interface • asyncio for asynchronous operations • Together AI for LLM interactions

1. Install the necessary Python Libraries Run the following commands from your terminal to install the required libraries:
1. Install the necessary Python Libraries Run the following commands from your terminal to install the required libraries:

Build an LLM app with Mixture of AI Agents using small Open Source LLMs that can beat GPT-4o in just 40 lines of Python Code (step-by-step instructions): ⬇️

You can use ChatGPT to make money online. Here are 10 prompts by ChatGPT 1. Develop Email Newsletters: Make interesting email
You can use ChatGPT to make money online. Here are 10 prompts by ChatGPT 1. Develop Email Newsletters: Make interesting email newsletters to keep audience updated and engaged. Prompt: "I run a local community news website. Can you help me create a weekly email newsletter that highlights key local events, stories, and updates in a compelling way?" 2. Create Online Course Material: Make detailed and educational online course content. Prompt: "I'm creating an online course about basic programming for beginners. Can you help me generate a syllabus and detailed lesson plans that cover fundamental concepts in an easy-to-understand manner?" Read more......

Machine_Learning_in_Finance_From_Theory_to_Practice_Matthew_F_Dixon.pdf8.75 MB

Free ML crash course by Google 👇👇 https://developers.google.com/machine-learning/crash-course/

Matrix Theory and Linear Algebra Peter Selinger, 2018

Here's a simple but powerful test to see the intelligence of an AI model. (The answer is the strawberry is still on the table) Go ahead and ask any model this: Assume the laws of physics on Earth. A small strawberry is put into a normal cup and the cup is placed upside down on a table. Someone then takes the cup and puts it inside the microwave. Where is the strawberry now? Explain your reasoning step by step.

AI as a life saver: 1. ChatGPT - thesis, essay, writing 2. Scite and perplexity - literature review 3. Consesus - latest research paper 4. Gemini - coding and technical 5. Claude AI - Analysis data, comparison data, literature review

DeepLearning Notes

ChatGPT is a profit powerhouse for designers. 10 ChatGPT / ClaudeAI prompts that help you make 6000$ / month. ( Start selling in 7 days or less ) ⬇👇 ChatGPT Prompt Master

Modern Deep Learning for Tabular Data Andre Ye, 2023

Fundamentals of Deep Learning Nithin Buduma, 2022

Machine Learning short notes.pdf5.34 MB

Artificial Intelligence, Game Theory and Mechanism Design in Politics Tshilidzi Marwala, 2023