PW Vidyapeeth - 12 JEE
前往频道在 Telegram
📝 Get ready to supercharge your exam preparation with our FREE resources and expert guidance. 📚 What You'll Find in Our Channel: 📔 JEE Free Notes 🧠 JEE Mindmaps 🌐 Vidyapeeth Updates 😂 Relatable memes
显示更多📈 Telegram 频道 PW Vidyapeeth - 12 JEE 的分析概览
频道 PW Vidyapeeth - 12 JEE (@pwvidyapeethclass12jee) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 12 935 名订阅者,在 教育 类别中位列第 15 490,并在 印度 地区排名第 31 671 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 12 935 名订阅者。
根据 29 七月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -317,过去 24 小时变化为 -9,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 26.05%。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。
- 主题关注点: 内容集中在 jee, college, chapter, delhi, hota 等核心主题上。
📝 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:
“📝 Get ready to supercharge your exam preparation with our FREE resources and expert guidance.
📚 What You'll Find in Our Channel:
📔 JEE Free Notes
🧠 JEE Mindmaps
🌐 Vidyapeeth Updates
😂 Relatable memes”
凭借高频更新(最新数据采集于 30 七月, 2026),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 教育 类别中的关键影响点。
12 935
订阅者
-924 小时
-587 天
-31730 天
帖子存档
12 935
Hello Students!
Think you can crack this one?
Solve the question and drop your answer in the group! 🔥
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Hello Students,
We’re happy to share that the April 2026 session of the Drishtikon Series is now live! 🎯
This session focuses on helping you with the right last-mile strategy, building the right exam mindset, and improving your execution.
Make sure you watch the video attached below and make the most of it. Stay focused and give your best! 💪
https://drive.google.com/file/d/1D64niALbtWCuz-lkHEnWklV66SV5qZ5U/view?usp=sharing
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Hello Students, 👋
Good evening! Let’s make learning a little more fun this year. 😀
With the 2026 academic session kicking off, we’re starting something exciting on our Telegram channel—quizzes, fun questions, interesting facts, riddles, and more! It’s going to be a great way to learn, interact, and stay motivated without feeling it boring. So make sure you participate actively — you’ll definitely pick up something new every day!
Also, don’t forget to invite your friends and classmates to join in. The more, the better.
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🚀 The Experiment Fest is Here!
A 1-Day Workshop for Class 11th, 12th & Repeaters
👉 Learn Physics, Chemistry, Maths & Biology through real experiments
🎯 Perfect for students preparing for JEE & NEET
📅 28th & 29th March
🎟 Register for FREE now!
📍 Visit your nearest Vidyapeeth/Pathshala
📲 Scan the QR in the creative to book your seat
https://forms.gle/L9Sr5N9AAeFrynUP7
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Get full JEE Mains 2026 preparation and exam strategy now
Just follow the page and comment "JEE" 👇
https://www.instagram.com/reel/DRuKZSDAAIj/?igsh=MTNzM3BqeG44eHk1NA==
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Watch this and make your study productivity 10x better.
https://www.instagram.com/reel/DRes574ANJp/?igsh=MTFyOG15d3lvOWFxbw==
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Preparation chhodne ka soch rahe ho toh , yeh tumhare liye hai!
https://www.instagram.com/reel/DQrNqI7AHsv/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA==
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PWNSAT 2025 Maths Chapter Revision Live Link : https://www.youtube.com/live/cC_ZshL5BPQ?si=mAfwWzjjPXb3a48C
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🚀 Introduction of Aryabhata 1.0
👉 PW (PhysicsWallah) has launched Aryabhata 1.0, a purpose-built small language model (SLM) specifically designed for JEE Main mathematics.
👉 Named after the legendary Indian mathematician Aryabhata, the model carries forward India's legacy in math innovation.
👉 Built with 7 billion parameters, it delivers exam-style, precise responses tailored for competitive environments.
🆚 Performance vs Other Models
👉 Aryabhata 1.0 scored 90.2% on JEE Main April 2025 papers.
👉 It also scored 83.6% on Math 500 and 94.84% on GSM8K (math reasoning).
👉 These results outperform major AI models like:
🔘 GPT-4o: 43.55%
🔘GPT-4.1: 80.44%
📏 Model Efficiency
👉 Despite being smaller than most LLMs, Aryabhata is highly efficient, optimized for a 2,000-token window.
👉 Larger models often require 8,000-token limits, making Aryabhata more resource-friendly and accessible.
🎓 Training & Educational Alignment
👉 Trained on 130,000 high-quality Q&A pairs from PW’s internal content bank.
👉 Utilizes a combination of:
Supervised Fine-Tuning (SFT)
Reinforcement Learning (RL)
Rejection Sampling
👉 Designed to match the logic and format of competitive exams, ensuring student-relevant reasoning.
🌐 Open Source & Accessibility
👉 Aryabhata 1.0 is freely available for:
🔘Educators
🔘Developers
🔘Researchers
👉 PW encourages open experimentation and collaborative innovation in the edtech space.
🔮 Future Plans – Aryabhata 2.0
👉 PW is planning to release Aryabhata 2.0 later this year.
👉 It will expand to Physics and Chemistry subjects.
👉 The model will also support JEE Advanced, NEET, and foundational learning levels.
🤝 Partnership with Microsoft
👉 Aryabhata is developed in collaboration with Microsoft Research India.
👉 This partnership is part of Microsoft’s $3 billion AI initiative in India.
👉 The goal is to build education-first AI tools that enhance tutoring accuracy and learning efficiency.
🌍 AI’s Impact on Competitive Exams
👉 Aryabhata 1.0 reflects the growing role of AI in India’s test-prep ecosystem.
👉 A ByteDance report revealed that Google Gemini 2.5 Pro recently outperformed IIT-JEE Advanced toppers.
👉 AI is now poised to reshape how competitive exams are prepared for and approached.
