Artificial Intelligence
前往频道在 Telegram
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
显示更多📈 Telegram 频道 Artificial Intelligence 的分析概览
频道 Artificial Intelligence (@artificial_intelligence_ai) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 15 875 名订阅者，在 技术与应用 类别中位列第 7 004，并在 马来西亚 地区排名第 4 905 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 15 875 名订阅者。
根据 23 九月, 2025 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 102，过去 24 小时变化为 0，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 0%。内容发布后 24 小时内通常能获得 N/A% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 0 次浏览，首日通常累积 0 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 0。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“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”
凭借高频更新（最新数据采集于 24 九月, 2025），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
15 875
订阅者
无数据24 小时
+87 天
+10230 天
数据加载中...
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| 日期 | 订阅者增长 | 提及 | 频道 | |
| 22 九月 | +7 | |||
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| 01 九月 | +5 |
频道帖子
🚀 *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)
.
.
.
.
.
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 | 没有文字... | 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 |
