Artificial Intelligence
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This Channel is to spread knowledge on Artificial Intelligence.❤️ We are here to simplify and understand everything about Artificial Intelligence.🤖 Join us in this mission.❤️ Let’s Grow Together.😍 eduai.web@gmail.com
Show more📈 Analytical overview of Telegram channel Artificial Intelligence
Channel Artificial Intelligence (@artificial_intelligence_ai) in the English language segment is an active participant. Currently, the community unites 15 875 subscribers, ranking 7 004 in the Technologies & Applications category and 4 905 in the Malaysia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 875 subscribers.
According to the latest data from 23 September, 2025, the channel demonstrates stable activity. Although there has been a change in the number of participants by 102 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“This Channel is to spread knowledge on Artificial Intelligence.❤️
We are here to simplify and understand everything about Artificial Intelligence.🤖
Join us in this mission.❤️
Let’s Grow Together.😍
eduai.web@gmail.com”
Thanks to the high frequency of updates (latest data received on 24 September, 2025), 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.
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Channel Posts
🚀 *We’re Hiring: Data Analyst Trainer | Udaipur* 📊
Are you passionate about data analysis and excited to share your expertise with future professionals? We are looking for a *Data Analyst Trainer* to join our team in *Udaipur, Rajasthan*!
If you have practical experience in *Python*, *Power BI*, and *Advanced Excel*, along with a flair for teaching and mentoring, we’d love to hear from you!
🔍 *Position*: Data Analyst Trainer
📍 *Location*: Udaipur, Rajasthan
🕒 *Experience*: Minimum 1 year of training experience
💰 *Salary*: ₹3 LPA to ₹5.4 LPA
*Qualifications*:
✅ Degree or Diploma in *Computer Science*, *IT*, or related fields
✅ Strong hands-on knowledge of *Python*, *Power BI*, and *Advanced Excel*
✅ Ability to simplify and communicate complex data analysis concepts effectively
*Skills*:
💡 Excellent *teaching* & *presentation* skills
💡 In-depth knowledge of *Python*, *Power BI*, and *Excel*
💡 Ability to engage and inspire students to master data analysis tools and techniques
🚀 Be a part of our mission to shape the next generation of data professionals!
📩 *Interested?* Send your CV to *akash@certedtechnologies.com* or contact *7748888320* for more information.
Let's make data analysis fun and engaging together! 📊✨
@Artificial_intelligence_ai
https://t.me/Artificial_intelligence_AI
| 2 | This free 8 hour course from NVIDIA is all you need to start building RAG Agents with LLMs
It talks in depth about -
- LLM Inference Interfaces
- Pipeline Design with LangChain
- Gradio and LangServe
- Dialog Management with Running States
- Working with Documents
- Embeddings for Semantic Similarity and Guardrailing
- Vector Stores for RAG Agents
Start your course here -
https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-15+V1 | 0 |
| 3 | Guide to Building an AI Agent
1️⃣ 𝗖𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗟𝗟𝗠
Not all LLMs are equal. Pick one that:
- Excels in reasoning benchmarks
- Supports chain-of-thought (CoT) prompting
- Delivers consistent responses
📌 Tip: Experiment with models & fine-tune prompts to enhance reasoning.
2️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁’𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗟𝗼𝗴𝗶𝗰
Your agent needs a strategy:
- Tool Use: Call tools when needed; otherwise, respond directly.
- Basic Reflection: Generate, critique, and refine responses.
- ReAct: Plan, execute, observe, and iterate.
- Plan-then-Execute: Outline all steps first, then execute.
📌 Choosing the right approach improves reasoning & reliability.
3️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝗖𝗼𝗿𝗲 𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝘀 & 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀
Set operational rules:
- How to handle unclear queries? (Ask clarifying questions)
- When to use external tools?
- Formatting rules? (Markdown, JSON, etc.)
- Interaction style?
📌 Clear system prompts shape agent behavior.
4️⃣ 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗮 𝗠𝗲𝗺𝗼𝗿𝘆 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆
LLMs forget past interactions. Memory strategies:
- Sliding Window: Retain recent turns, discard old ones.
- Summarized Memory: Condense key points for recall.
- Long-Term Memory: Store user preferences for personalization.
📌 Example: A financial AI recalls risk tolerance from past chats.
5️⃣ 𝗘𝗾𝘂𝗶𝗽 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗧𝗼𝗼𝗹𝘀 & 𝗔𝗣𝗜𝘀
Extend capabilities with external tools:
- Name: Clear, intuitive (e.g., "StockPriceRetriever")
- Description: What does it do?
- Schemas: Define input/output formats
- Error Handling: How to manage failures?
📌 Example: A support AI retrieves order details via CRM API.
6️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁’𝘀 𝗥𝗼𝗹𝗲 & 𝗞𝗲𝘆 𝗧𝗮𝘀𝗸𝘀
Narrowly defined agents perform better. Clarify:
- Mission: (e.g., "I analyze datasets for insights.")
- Key Tasks: (Summarizing, visualizing, analyzing)
- Limitations: ("I don’t offer legal advice.")
📌 Example: A financial AI focuses on finance, not general knowledge.
7️⃣ 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗥𝗮𝘄 𝗟𝗟𝗠 𝗢𝘂𝘁𝗽𝘂𝘁𝘀
Post-process responses for structure & accuracy:
- Convert AI output to structured formats (JSON, tables)
- Validate correctness before user delivery
- Ensure correct tool execution
📌 Example: A financial AI converts extracted data into JSON.
8️⃣ 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝘁𝗼 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱)
For complex workflows:
- Info Sharing: What context is passed between agents?
- Error Handling: What if one agent fails?
- State Management: How to pause/resume tasks?
📌 Example:
1️⃣ One agent fetches data
2️⃣ Another summarizes
3️⃣ A third generates a report
Master the fundamentals, experiment, and refine and.. now go build something amazing! (Written by : Armand Ruiz)
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Only playlist you need to look to learn Machine Learning from Basics
https://youtube.com/playlist?list=PL9m8ngZLLVomZCPblj4Py7HpQapy5dlfB&si=5p0auz1fYVzikpJr
@Artificial_intelligence_ai
https://t.me/Artificial_intelligence_AI | 0 |
| 4 |  DeepMind in collaboration with University College London "Reinforcement Learning Lecture Series 2021"
Website: https://lnkd.in/gwykwSAy
Video lectures: https://lnkd.in/gJxaQXic
👉@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 5 |  Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs
🖥 Github: https://github.com/zhouyiks/CoLVA/tree/main
📕 Paper: https://arxiv.org/pdf/2501.04670v1.pdf
⭐️ Dataset: https://paperswithcode.com/dataset/bdd100k
👉@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 6 |  Mathematical Foundations of Machine Learning
📓 book
👉@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 7 | 🚀 𝐅𝐥𝐚𝐢𝐫𝐬𝐓𝐞𝐜𝐡 𝐢𝐬 𝐇𝐢𝐫𝐢𝐧𝐠: 𝐉𝐮𝐧𝐢𝐨𝐫 𝐌𝐋/𝐀𝐈/𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 - 𝐅𝐮𝐥𝐥-𝐓𝐢𝐦𝐞 (𝐂𝐚𝐢𝐫𝐨) 🚀
𝐖𝐡𝐚𝐭 𝐘𝐨𝐮’𝐥𝐥 𝐁𝐫𝐢𝐧𝐠:
✅ Python Skills: Proficiency with libraries like NumPy, pandas, and scikit-learn.
✅ API Development: Basic experience with FastAPI for creating web services.
✅ Database Knowledge: Familiarity with SQL or MongoDB.
✅ DevOps Basics: Exposure to Docker, CI/CD, and cloud technologies is a plus.
✅ Error Tracking: Understanding logging and troubleshooting techniques.
✅ AI Foundations: Interest or experience in NLP (e.g., NLTK) or computer vision (e.g., OpenCV).
𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰:
📩 Send your CV to habeba.kamel@flairstech.com with the subject line "Junior ML/AI/Data Scientist Position."
@Artificial_intelligence_ai
https://t.me/Artificial_intelligence_AI | 0 |
| 8 | Only playlist you need to look to learn Machine Learning from Basics
https://youtube.com/playlist?list=PL9m8ngZLLVomZCPblj4Py7HpQapy5dlfB&si=5p0auz1fYVzikpJr
@Artificial_intelligence_ai
https://t.me/Artificial_intelligence_AI | 0 |
| 9 |  12 Papers You Should Read to Understand Object Detection in the Deep Learning Era
https://towardsdatascience.com/12-papers-you-should-read-to-understand-object-detection-in-the-deep-learning-era-3390d4a28891
👉@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 10 | We are hiring : Data Scientist
Location- Noida (WFO)
Required Skills and Qualifications:
Experience: 3-5 years of experience in Data Science, AI, and Machine Learning.
Proficiency in Python, R, or other relevant programming languages.
Expertise in LLM fine-tuning, prompt engineering, and vector databases.
Experience with frameworks like LangChain, Hugging Face Transformers, or similar tools.
Strong knowledge of retrieval systems and knowledge bases for RAG pipelines.
Hands-on experience in deploying models in cloud environments like AWS, GCP, or Azure.
Interested candidates please share your CV at vaishali.tyagi@kiwitech.com
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 11 | 🚀 We're Hiring: hashtag#Technical_Support_Engineer 🚀
📍 Location: Baner, hashtag#Pune
💼 Experience: 2–4 years
📊 Openings: 2 positions
Join our dynamic team and empower businesses with cutting-edge BI solutions and seamless support!
What You’ll Do:
🌐 Systems & Networking: Manage Linux/Unix systems and ensure seamless data flow.
📊 BI & Analytics: Build and maintain dashboards using tools like Incorta, Power BI, Tableau, and more.
☁️ Cloud Integration: Support cloud platforms (AWS, Azure, GCP).
💾 SQL & Data Integration: Optimize data processes and analytics solutions.
What We’re Looking For:
🔑 Expertise in Linux/Unix systems and networking.
📈 Hands-on experience with BI tools and SQL.
☁️ Familiarity with cloud platforms (AWS, Azure, GCP).
🚀 Bonus: Java application support and data warehousing experience.
💡 Why Join Us?
Collaborate on impactful projects.
Grow with cutting-edge technologies.
Be part of a team that values innovation and problem-solving.
Ready to take your career to the next level? Apply now and let’s make data-driven magic together!
Share your CV at anmolj@ithena.ai
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 12 |  it’s genius😳, Tesla Bot lying…
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 13 |  https://www.instagram.com/reel/DDCSE7BoNPf/?igsh=azlpcjI0MzBtOXdh
Advanced Camera Control is now available for Gen-3 Alpha Turbo. Choose both the direction and intensity of how you move through your scenes for even more intention in every shot. Available now at runwayml.com
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 14 | #fresher looking for data science and data engineering roles, please send your resume with a brief introduction of your skills and strengths to 💌 priya1.sharma@infogain.com, c to neelima.trehan@infogain.com. Good opportunity in a tough market!!
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 15 |  Prompt Engineering Techniques: Comprehensive Repository for Development and Implementation 🖋️
📓 Github
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 16 | Hi All,
We, at Gartner, are hiring for below Data Analyst Roles. If your experience aligns with any of the below mentioned roles, kindly share your updated resume with me on garima.rai@gartner.com
1) Associate Data Analyst
📌 0.5-2 years of experience with strong proficiency in Python language.
📌 SQL/Excel/PowerBI experience is good to have.
📌 Technical Background preferred.
2) Data Analyst
📌 1.5-3 years of experience with strong proficiency in Advanced MS Excel (not limited to experience only with excel functions, pivot table and basic formula).
📌 SQL/Python/PowerBI experience is good to have.
📌 Technical Background preferred.
3) Senior Data Analyst
📌 3-5 years of experience with strong proficiency in PowerBI or Advanced Excel (not limited to experience only with excel functions, pivot table and basic formula).
📌 SQL/Python experience is good to have.
📌 Technical Background preferred.
4) Data Analyst, Lead
📌 5-6 years of experience with strong proficiency in PowerBI.
📌 Able to generate actionable insights and able to share the data through storytelling
📌 Technical Background preferred.
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 17 |  +1https://www.instagram.com/reel/DCPDx_YIRjD/?igsh=ZGJkcjdwbmh2YjA4
😱 1 in 5 Americans have flirted with AI chatbots.
🤖 Many see these AI companions as more than just tools for tasks, they’re becoming seen as virtual friends and even partners in some cases.
👫 A key attraction is the ability to customize the AI partner, ensuring they match personal preferences.
😍 Some are also drawn by the idea of trust and loyalty AI can offer, as well as the novelty of exploring relationships without typical human relationship problems.
🤑 This market is expected to grow significantly, with some experts predicting it could become a billion-dollar industry in the near future.
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 18 | No text... | 0 |
| 19 |  Stanford just uploaded their new "Building LLMS" lecture. It's a must watch.🔥
"This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF).
For each component, it explores common practices in data collection, algorithms, and evaluation methods."
https://www.youtube.com/watch?v=9vM4p9NN0Ts
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI | 0 |
| 20 | Stanford just uploaded their new "Building LLMS" lecture. It's a must watch.🔥
"This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF).
For each component, it explores common practices in data collection, algorithms, and evaluation methods."
https://www.youtube.com/watch?v=9vM4p9NN0Ts | 0 |
